Triple
T14365046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Céligny |
E356208
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object |
Messery
Messery is a small French commune located on the southern shore of Lake Geneva in the Haute-Savoie department of the Auvergne-Rhône-Alpes region.
|
E1095883
|
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: Messery | Statement: [Céligny, hasNeighboringMunicipality, Messery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Messery Context triple: [Céligny, hasNeighboringMunicipality, Messery]
-
A.
Messancy
Messancy is a municipality in the province of Luxembourg in southern Belgium, located near the border with Luxembourg and France.
-
B.
The Mess
"The Mess" is a song that appears as the B-side to the single "My Love."
-
C.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
-
D.
Murge
Murge is a karst plateau region in southern Italy, spanning parts of Apulia and Basilicata and known for its rocky landscapes, ravines, and traditional rural settlements.
-
E.
Meritene
Meritene is a Nestlé Health Science nutritional supplement brand offering products designed to support adults’ and seniors’ strength, vitality, and overall nutritional needs.
- 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: Messery Triple: [Céligny, hasNeighboringMunicipality, Messery]
Generated description
Messery is a small French commune located on the southern shore of Lake Geneva in the Haute-Savoie department of the Auvergne-Rhône-Alpes region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Messery Target entity description: Messery is a small French commune located on the southern shore of Lake Geneva in the Haute-Savoie department of the Auvergne-Rhône-Alpes region.
-
A.
Messancy
Messancy is a municipality in the province of Luxembourg in southern Belgium, located near the border with Luxembourg and France.
-
B.
The Mess
"The Mess" is a song that appears as the B-side to the single "My Love."
-
C.
Mankessim
Mankessim is a major commercial and historical town in Ghana known as an important market center and traditional seat of the Fante people.
-
D.
Murge
Murge is a karst plateau region in southern Italy, spanning parts of Apulia and Basilicata and known for its rocky landscapes, ravines, and traditional rural settlements.
-
E.
Meritene
Meritene is a Nestlé Health Science nutritional supplement brand offering products designed to support adults’ and seniors’ strength, vitality, and overall nutritional needs.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fad48748190a0f34ca4d02f9a3c |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c4cb0c4819094d59b4b1d43588b |
completed | May 8, 2026, 2:37 a.m. |
| NEDg | Description generation | batch_69fd4d912ff08190b3594dd134ef7e40 |
completed | May 8, 2026, 2:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4e7e7c508190a42070a2f2b33425 |
completed | May 8, 2026, 2:46 a.m. |
Created at: April 10, 2026, 1:15 a.m.