Triple
T13711071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minett region |
E328772
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Terres Rouges |
E1054051
|
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: Terres Rouges | Statement: [Minett region, alsoKnownAs, Terres Rouges]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terres Rouges Context triple: [Minett region, alsoKnownAs, Terres Rouges]
-
A.
Terres Rouges
chosen
Terres Rouges is an industrially historic region in southwestern Luxembourg known for its former iron-ore mining and steel production.
-
B.
Pérouges
Pérouges is a well-preserved medieval walled hilltop village in eastern France, renowned for its cobbled streets, stone houses, and status as one of the country's most beautiful historic towns.
-
C.
Terre-de-Haut
Terre-de-Haut is a small Caribbean island in the Guadeloupe archipelago, known for its picturesque bay, Creole culture, and popular seaside tourism.
-
D.
La Plaine
La Plaine is a village in the canton of Geneva, Switzerland, situated near the French border and served as a terminus by the regional railway network.
-
E.
Tanah Merah
Tanah Merah is a town in the Malaysian state of Kelantan, known as a regional commercial and administrative center.
- 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_69d80770b9bc81909f70c8c317d53cff |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dd43949e6c8190ae5e4fa119cde33a |
completed | April 13, 2026, 7:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d54a68081908df25edf6d5df362 |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:54 p.m.