Triple
T13679807
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Étang de Thau |
E327969
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Mèze
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.
|
E1055523
|
NE FINISHED |
How this triple was built (4 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, locatedNear, Mèze]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mèze Context triple: [Étang de Thau, locatedNear, Mèze]
-
A.
Mezzegra
Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
-
B.
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.
-
C.
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.
-
D.
Tigheci
Tigheci is a village located in the Leova District of Moldova.
-
E.
Mezitli
Mezitli is a coastal district and municipality of the city of Mersin in southern Turkey, known for its Mediterranean shoreline and growing urban residential areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mèze Triple: [Étang de Thau, locatedNear, Mèze]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mèze Target entity description: 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.
-
A.
Mezzegra
Mezzegra is a small village and former municipality on the western shore of Lake Como in the Lombardy region of northern Italy.
-
B.
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.
-
C.
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.
-
D.
Tigheci
Tigheci is a village located in the Leova District of Moldova.
-
E.
Mezitli
Mezitli is a coastal district and municipality of the city of Mersin in southern Turkey, known for its Mediterranean shoreline and growing urban residential areas.
- F. None of above. chosen
Provenance (5 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_69f7944347a08190bc1386e78ddb3e71 |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f79523bf608190addeca563bea132e |
completed | May 3, 2026, 6:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7965cc9f88190acbf232615a9e87b |
completed | May 3, 2026, 6:39 p.m. |
Created at: April 9, 2026, 9:53 p.m.