Triple
T19917513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phipps family |
E478702
|
entity |
| Predicate | hasEstate |
P8997
|
FINISHED |
| Object |
Colorado
Colorado is a western U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and diverse natural beauty.
|
E42836
|
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: Colorado | Statement: [Phipps family, hasEstate, Colorado]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Colorado Context triple: [Phipps family, hasEstate, Colorado]
-
A.
Colorado
Colorado is a landlocked U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and cities like Denver and Boulder.
-
B.
Colorado
Colorado is a Barbacoan language spoken by indigenous communities in parts of Colombia and Ecuador.
-
C.
Como, Colorado
Como, Colorado is a small historic unincorporated community and former railroad town located in the high plains of central Colorado.
-
D.
D. Colo.
D. Colo. is the standard legal abbreviation for the United States District Court for the District of Colorado, a federal trial court within the Tenth Circuit.
-
E.
Utah
Utah is a landlocked state in the western United States known for its vast deserts, distinctive red rock landscapes, and prominent national parks such as Zion and Arches.
- 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: Colorado Triple: [Phipps family, hasEstate, Colorado]
Generated description
Colorado is a western U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and diverse natural beauty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Colorado Target entity description: Colorado is a western U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and diverse natural beauty.
-
A.
Colorado
chosen
Colorado is a landlocked U.S. state known for its Rocky Mountain landscapes, outdoor recreation, and cities like Denver and Boulder.
-
B.
Colorado
Colorado is a Barbacoan language spoken by indigenous communities in parts of Colombia and Ecuador.
-
C.
Como, Colorado
Como, Colorado is a small historic unincorporated community and former railroad town located in the high plains of central Colorado.
-
D.
D. Colo.
D. Colo. is the standard legal abbreviation for the United States District Court for the District of Colorado, a federal trial court within the Tenth Circuit.
-
E.
Utah
Utah is a landlocked state in the western United States known for its vast deserts, distinctive red rock landscapes, and prominent national parks such as Zion and Arches.
- F. None of above.
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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65995bd60819097cfad003dd29731 |
completed | April 20, 2026, 4:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ea3e455881908573a191e46b1e80 |
completed | May 16, 2026, 3:53 a.m. |
| NEDg | Description generation | batch_6a07f0a70a3c8190942ae3edb1092d4d |
completed | May 16, 2026, 4:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f10543c08190aed799e37a290e58 |
completed | May 16, 2026, 4:22 a.m. |
Created at: April 10, 2026, 1:53 p.m.