Triple
T15953185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chairman of Xerox |
E386866
|
entity |
| Predicate | seat |
P75
|
FINISHED |
| Object | Norwalk, Connecticut |
E175302
|
NE FINISHED |
How this triple was built (2 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: Norwalk, Connecticut | Statement: [Chairman of Xerox, seat, Norwalk, Connecticut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norwalk, Connecticut Context triple: [Chairman of Xerox, seat, Norwalk, Connecticut]
-
A.
Norwalk
chosen
Norwalk is a coastal city in southwestern Connecticut known for its maritime heritage, harbor, and proximity to Long Island Sound.
-
B.
Norwalk
Norwalk is a small suburban city in central Iowa, located just south of Des Moines.
-
C.
Norwalk
Norwalk is a small city in northern Ohio that serves as the county seat of Huron County and a regional center for local history and culture.
-
D.
Norwalk
Norwalk is a suburban city in southeastern Los Angeles County, California, known as a residential community and transit hub near the eastern terminus of the Metro C Line.
-
E.
Westport, Connecticut
Westport, Connecticut is an affluent coastal town in Fairfield County known for its arts scene, historic New England character, and location along Long Island Sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156f810148190ab4989a0e4a5f8c0 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d447f5cc81908757869f2d1e94a1 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 4:53 a.m.