Triple
T3308205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Collonge-Bellerive |
E69502
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Meinier |
E165808
|
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: Meinier | Statement: [Collonge-Bellerive, hasNeighboringMunicipality, Meinier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Meinier Context triple: [Collonge-Bellerive, hasNeighboringMunicipality, Meinier]
-
A.
Meinier
chosen
Meinier is a rural municipality in the canton of Geneva, Switzerland, known for its agricultural landscape and proximity to the city of Geneva.
-
B.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
C.
Montero Ríos
Montero Ríos is the surname of Eugenio Montero Ríos, a prominent Spanish jurist and politician who served as Prime Minister of Spain in the early 20th century.
-
D.
Magaña
Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
-
E.
Cansino
Cansino is the original family surname of Hollywood actress and dancer Rita Hayworth, reflecting her Spanish heritage.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0cc15088190b51c311c6590df04 |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3edc0c081908a7f5c02fe18584b |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.