Triple
T5391462
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linden, Alabama |
E120338
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
Linden
Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
|
E517631
|
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: Linden | Statement: [Linden, Alabama, abbreviation, Linden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linden Context triple: [Linden, Alabama, abbreviation, Linden]
-
A.
Linden
Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
-
B.
Linden
Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
-
C.
Linden
Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
-
D.
Southwood
Southwood is a suburban residential area within the Borough of Rushmoor in Hampshire, England.
-
E.
Linwood
Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow 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: Linden Triple: [Linden, Alabama, abbreviation, Linden]
Generated description
Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linden Target entity description: Linden is a small city in Marengo County, Alabama, serving as the county seat and known for its rural Southern character.
-
A.
Linden
Linden is a small village in the Dutch province of North Brabant, known for its rural character and location near the Maas River.
-
B.
Linden
Linden is a town in Lower Saxony, Germany, known as the birthplace of political theorist Hannah Arendt.
-
C.
Linden
Linden is a Chicago Transit Authority rapid transit station that serves as the northern terminal of the Purple Line in Wilmette, Illinois.
-
D.
Southwood
Southwood is a suburban residential area within the Borough of Rushmoor in Hampshire, England.
-
E.
Linwood
Linwood is a small Scottish town in Renfrewshire, near Paisley, known historically for its car manufacturing and as a residential commuter community for the Greater Glasgow 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd87185f788190bd5244a1f7dbb5c8 |
completed | March 20, 2026, 5:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3366a0588190b1e5e48be86471fe |
completed | March 22, 2026, 12:10 a.m. |
| NEDg | Description generation | batch_69bf36295f608190b2c7d66874741d27 |
completed | March 22, 2026, 12:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf36c7b5988190901a7fb643313c11 |
completed | March 22, 2026, 12:24 a.m. |
Created at: March 20, 2026, 2:04 p.m.