Triple
T15778575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A30 motorway |
E382550
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Hayange |
E393522
|
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: Hayange | Statement: [A30 motorway, servesCity, Hayange]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayange Context triple: [A30 motorway, servesCity, Hayange]
-
A.
Hayange
chosen
Hayange is an industrial town in northeastern France known historically for its steel and ironworks in the Moselle department of the Grand Est region.
-
B.
Hagonoy
Hagonoy is a coastal municipality in the province of Bulacan in the Philippines, known for its fishing industry and aquaculture.
-
C.
Hagonoy
Hagonoy is a coastal agricultural municipality in the province of Davao del Sur in the Philippines.
-
D.
Hajong
The Hajong are an indigenous ethnic group of northeastern India and neighboring Bangladesh, known for their Tibeto-Burman origins, agrarian lifestyle, and distinct language and cultural traditions.
-
E.
Araria
Araria is a town and administrative headquarters of Araria district in the northeastern part of the Indian state of Bihar, near the border with Nepal.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e053fea90081908e3fe4f91475bead |
completed | April 16, 2026, 3:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff909d7b7c81908b62faa2ab378fad |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:47 a.m.