Triple
T3447383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamilton County |
E72709
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Speculator |
E198064
|
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: Speculator | Statement: [Hamilton County, contains, Speculator]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Speculator Context triple: [Hamilton County, contains, Speculator]
-
A.
Merchant
Merchant is a shrewd, status-conscious businessman and storyteller in Geoffrey Chaucer’s The Canterbury Tales, known for his cynical views on marriage and concern with profit and appearance.
-
B.
Speculator, New York
chosen
Speculator, New York is a small Adirondack village and popular outdoor recreation destination located within Hamilton County in upstate New York.
-
C.
Miner
Miner is a surname of English origin historically associated with the occupation of mining.
-
D.
Traders
Traders are individuals or entities that buy and sell financial instruments, commodities, or goods in markets to profit from price movements or arbitrage opportunities.
-
E.
Blinder
Blinder is the NATO reporting name for the Soviet-era Tupolev Tu-22 supersonic bomber aircraft.
- 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_69ad85b05c848190b7a28ceec2bd7b74 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adba6efb188190b989fa4d6f28e16b |
completed | March 8, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360e32ba08190bcd2f3cbe963c443 |
completed | March 13, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:16 p.m.