Triple
T27450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas |
E548
|
entity |
| Predicate | stateFlower |
P331
|
FINISHED |
| Object |
Bluebonnet
Bluebonnet is a vibrant blue wildflower, especially known for carpeting Texas fields each spring and serving as a symbol of the state's natural beauty.
|
E1188
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bluebonnet | Statement: [Texas, stateFlower, Bluebonnet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bluebonnet Context triple: [Texas, stateFlower, Bluebonnet]
-
A.
Lick
Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
-
B.
Cottonopolis
Cottonopolis is a historical nickname for Manchester, England, reflecting its prominence as a major center of the cotton and textile industry during the Industrial Revolution.
-
C.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
D.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
E.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bluebonnet Triple: [Texas, stateFlower, Bluebonnet]
Generated description
Bluebonnet is a vibrant blue wildflower, especially known for carpeting Texas fields each spring and serving as a symbol of the state's natural beauty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bluebonnet Target entity description: Bluebonnet is a vibrant blue wildflower, especially known for carpeting Texas fields each spring and serving as a symbol of the state's natural beauty.
-
A.
Lick
Lick is the nickname of Joseph Carl Robnett Licklider, a pioneering American computer scientist whose ideas helped lay the foundations for interactive computing and the internet.
-
B.
Cottonopolis
Cottonopolis is a historical nickname for Manchester, England, reflecting its prominence as a major center of the cotton and textile industry during the Industrial Revolution.
-
C.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
D.
Rogers
Rogers is a common English-language surname borne by numerous notable individuals across fields such as science, politics, entertainment, and sports.
-
E.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a2467875048190aad87347c7a1cb67 |
completed | Feb. 28, 2026, 1:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248e9961c8190a65bacb26fbc16e7 |
completed | Feb. 28, 2026, 1:46 a.m. |
| NEDg | Description generation | batch_69a2494198908190a6dd6f5ea5404f3f |
completed | Feb. 28, 2026, 1:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a249f826108190afb1dc9a7017d1b6 |
completed | Feb. 28, 2026, 1:50 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.