Triple
T17093601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ONCF |
E414784
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | ONCF |
E414784
|
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: ONCF | Statement: [ONCF, shortName, ONCF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ONCF Context triple: [ONCF, shortName, ONCF]
-
A.
ONCF
chosen
ONCF (Office National des Chemins de Fer) is Morocco’s national state-owned railway company, responsible for operating the country’s passenger and freight rail services, including high-speed lines.
-
B.
SNCF Réseau
SNCF Réseau is the French state-owned rail infrastructure manager responsible for operating, maintaining, and developing France’s national railway network.
-
C.
SNCF
SNCF is France’s national state-owned railway company, responsible for operating the country’s passenger and freight rail services and much of its rail infrastructure.
-
D.
SNCF Fret
SNCF Fret is the freight division of the French national railway company SNCF, responsible for cargo and goods transport by rail across France and into neighboring countries.
-
E.
OUIGO
OUIGO is a low-cost high-speed train service operated by France’s national railway company SNCF, offering budget-friendly travel on major routes.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfb89348190942984037bd3bd2e |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012eec0d5c8190806e756aae848ba2 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:35 a.m.