Triple
T12921993
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Place d'Iéna |
E309146
|
entity |
| Predicate | publicTransport |
P1288
|
FINISHED |
| Object | Iéna metro station |
E875014
|
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: Iéna metro station | Statement: [Place d'Iéna, publicTransport, Iéna metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iéna metro station Context triple: [Place d'Iéna, publicTransport, Iéna metro station]
-
A.
Iéna metro station
chosen
Iéna metro station is a Paris Métro station on Line 9 located in the 16th arrondissement, near landmarks such as the Palais de Tokyo and the Trocadéro.
-
B.
Vavin metro station
Vavin metro station is a Paris Métro station in the Montparnasse area, serving Line 4 near Boulevard du Montparnasse and the Jardin du Luxembourg.
-
C.
Rihour metro station
Rihour metro station is an underground station on the Lille Metro serving the historic city center and the Grand-Place area of Lille, France.
-
D.
Mabillon metro station
Mabillon metro station is a Paris Métro station in the 6th arrondissement, serving the Saint‑Germain‑des‑Prés area on the Left Bank.
-
E.
Hénon metro station
Hénon metro station is a Lyon Metro station serving the La Croix-Rousse district in Lyon, France.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971e7f6e881908c7bb12283898c80 |
completed | April 10, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d5f1023881909cbfe46a89b3e184 |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 5:42 p.m.