Triple
T9441377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île-de-France Mobilités |
E227652
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | IDFM |
E227652
|
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: IDFM | Statement: [Île-de-France Mobilités, shortName, IDFM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IDFM Context triple: [Île-de-France Mobilités, shortName, IDFM]
-
A.
IDFM
chosen
IDFM is the abbreviation for Île-de-France Mobilités, the public authority that organizes and coordinates public transportation in the Paris metropolitan region.
-
B.
IDEM
IDEM is the Italian derivatives market operated by Borsa Italiana, where futures and options on equities and indices are traded.
-
C.
FIDA
FIDA is a Palestinian leftist political party formally known as the Palestinian Democratic Union.
-
D.
IDEP
IDEP is a regional training and research institute under the United Nations Economic Commission for Africa that focuses on economic development and planning in African countries.
-
E.
IDFWU
"IDFWU" is a popular hip-hop breakup anthem by Big Sean, known for its blunt, unapologetic lyrics and catchy, confrontational hook.
- 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_69ca843884488190ad6cbe0153088234 |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7ee4f4a08190ada5ee14fec2b822 |
completed | April 1, 2026, 8:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1225df53c819091b64f8cda159ae9 |
completed | April 4, 2026, 2:38 p.m. |
Created at: March 30, 2026, 7:50 p.m.