Triple
T15856545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suresnes |
E384471
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object | Kribi |
E568530
|
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: Kribi | Statement: [Suresnes, twinTown, Kribi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kribi Context triple: [Suresnes, twinTown, Kribi]
-
A.
Kribi
chosen
Kribi is a coastal resort town in southern Cameroon known for its sandy beaches, fishing port, and proximity to the Chutes de la Lobé waterfalls.
-
B.
Limbé
Limbé is a historic town in northern Haiti known for its agricultural surroundings and role in the country’s colonial and revolutionary past.
-
C.
Nossi-Bé
Nossi-Bé is an island off the northwest coast of Madagascar known for its tropical beaches, marine biodiversity, and role as a major tourist destination.
-
D.
Dzaoudzi
Dzaoudzi is a coastal town on the island of Petite-Terre in Mayotte, serving as one of the territory’s main urban centers and former capital.
-
E.
Maroua
Maroua is a prominent city in northern Cameroon known as a regional commercial and cultural center near the Sahel.
- 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14cb08bd081908af2120eb2925441 |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa14c1e508190a182db216cc4e326 |
completed | May 9, 2026, 9:04 p.m. |
Created at: April 10, 2026, 4:50 a.m.