Triple
T13679839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Étang de Thau |
E327969
|
entity |
| Predicate | nearbyTown |
P3883
|
FINISHED |
| Object | Mèze |
E1055523
|
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: Mèze | Statement: [Étang de Thau, nearbyTown, Mèze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mèze Context triple: [Étang de Thau, nearbyTown, Mèze]
-
A.
Mèze
chosen
Mèze is a historic fishing and wine-producing town in southern France’s Hérault department, known for its oyster farming and location on the Mediterranean coast.
-
B.
Mezzegra
Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
-
C.
Meyrueis
Meyrueis is a small commune in southern France’s Lozère department, known as a gateway to the Gorges de la Jonte and surrounding limestone plateaus in the Cévennes region.
-
D.
Mialet
Mialet is a commune in the Gard department of southern France, known for its scenic Cévennes landscape and proximity to notable caves and natural attractions.
-
E.
Tigheci
Tigheci is a village located in the Leova District of Moldova.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc66cbb088190907cb89dda8e4ebd |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d4a4a50819098bd4348eba19ee7 |
completed | May 3, 2026, 7:08 p.m. |
Created at: April 9, 2026, 9:53 p.m.