Triple
T3842271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meuse |
E93477
|
entity |
| Predicate | hasMajorTown |
P316
|
FINISHED |
| Object | Commercy |
E393544
|
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: Commercy | Statement: [Meuse, hasMajorTown, Commercy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Commercy Context triple: [Meuse, hasMajorTown, Commercy]
-
A.
Commercy
chosen
Commercy is a small town in northeastern France best known for its madeleine pastries and its role as an administrative center in the Meuse department.
-
B.
Commerce
Commerce is a city in Los Angeles County, California, known for its industrial base, rail yards, and large outlet shopping center.
-
C.
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.
-
D.
Commerce and Trade
Commerce and Trade refers to the body of U.S. federal law and policy governing business activities, markets, and economic transactions, as codified in Title 15 of the United States Code.
-
E.
The Traders
"The Traders" is a science fiction story set in Isaac Asimov's Foundation universe, focusing on the role of independent merchants in spreading the influence of the Foundation through trade and technology.
- 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_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb397ac81908f74a42a0eeb8682 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5122ba6a4819099986e50f42f2a92 |
completed | March 14, 2026, 7:45 a.m. |
Created at: March 9, 2026, 3:18 p.m.