Triple
T22204944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alma–Marceau |
E548780
|
entity |
| Predicate | adjacentStationOnLine9 |
P83323
|
FINISHED |
| Object | Iéna |
—
|
NE NERFINISHED |
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 | Statement: [Alma–Marceau, adjacentStationOnLine9, Iéna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iéna Context triple: [Alma–Marceau, adjacentStationOnLine9, Iéna]
-
A.
Iéna
chosen
Iéna is a Paris Métro station in the 16th arrondissement, located near landmarks such as the Palais de Tokyo and the Trocadéro.
-
B.
Kapoeta
Kapoeta is a town in southeastern South Sudan that serves as an important local center for trade and administration in the Equatoria region.
-
C.
Yassa
Yassa was the codified legal and administrative code traditionally attributed to Genghis Khan that governed the Mongol Empire and its successor states.
-
D.
Ténenkou
Ténenkou is a town and administrative center in central Mali, situated within the Mopti Region.
-
E.
Chenu
Chenu is a commune in northwestern France, located in the Sarthe department of the Pays de la Loire region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3ecc7c8190b5f94cd8f42e9d37 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12b27451081908c29d1915b6c4229 |
completed | April 28, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:36 p.m.