Triple
T2957981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menetou-Salon |
E79977
|
entity |
| Predicate | governingBody |
P46
|
FINISHED |
| Object | INAO |
E49242
|
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: INAO | Statement: [Menetou-Salon, governingBody, INAO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: INAO Context triple: [Menetou-Salon, governingBody, INAO]
-
A.
INAO
chosen
INAO (Institut National de l’Origine et de la Qualité) is the French governmental organization responsible for overseeing and protecting appellations of origin and quality labels for agricultural products, including wine.
-
B.
INA
INA is the commonly used abbreviation for the U.S. Immigration and Nationality Act, the foundational federal law governing immigration and citizenship in the United States.
-
C.
INA
INA refers to the Indian National Army, a military force formed during World War II to fight against British colonial rule in India, primarily under the leadership of Subhas Chandra Bose.
-
D.
INNSA
INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
-
E.
AIST
AIST is a professional association that supports the global iron and steel industry through technology advancement, education, and networking among industry professionals.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad992b33e081909d22a19d5064c47d |
completed | March 8, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc8a10848190b8eec482252eb76b |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:57 p.m.