Triple
T5933539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vinci |
E131991
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Cofiroute |
E246941
|
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: Cofiroute | Statement: [Vinci, hasSubsidiary, Cofiroute]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cofiroute Context triple: [Vinci, hasSubsidiary, Cofiroute]
-
A.
Cofiroute
chosen
Cofiroute is a French toll road concession company that finances, builds, and operates motorway and tunnel infrastructure.
-
B.
koa-router
koa-router is a popular routing middleware for the Koa web framework that provides URL routing, route parameters, and middleware composition for building Node.js APIs and web applications.
-
C.
Routing
Routing is the Symfony component responsible for mapping incoming HTTP requests to specific controllers and actions based on defined URL patterns.
-
D.
React Router
React Router is a popular routing library for React applications that enables declarative, client-side navigation and URL management in single-page apps.
-
E.
Soundview route
The Soundview route is a New York City Ferry service line that connects the Soundview neighborhood in the Bronx with Manhattan via several East River stops.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4 p.m.