Triple
T17271268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colihaut |
E419263
|
entity |
| Predicate | nearbySettlement |
P350
|
FINISHED |
| Object | Dublanc |
E419264
|
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: Dublanc | Statement: [Colihaut, nearbySettlement, Dublanc]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dublanc Context triple: [Colihaut, nearbySettlement, Dublanc]
-
A.
Dublanc
chosen
Dublanc is a small coastal village in Dominica known for its fishing community and proximity to natural attractions like Morne Diablotins.
-
B.
Balice
Balice is a village near Kraków in southern Poland, best known for hosting the region’s main international airport.
-
C.
Dabhan
Dabhan is a village in the Kheda district of Gujarat, India, known for its religious significance and association with the Swaminarayan tradition.
-
D.
Dubeninki
Dubeninki is a small town in northeastern Poland located within the Warmian-Masurian Voivodeship, known for its proximity to lakes and forests.
-
E.
Margush
Margush is an ancient historical region corresponding to the area around the oasis city of Merv in present-day Turkmenistan, once a major center on the Silk Road.
- 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_69d886da626481908a14ce7830329a35 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42f4a3c4c81908a28c9f8bdf648ca |
completed | April 19, 2026, 1:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01794d605481908b5e430c3142c203 |
completed | May 11, 2026, 6:38 a.m. |
Created at: April 10, 2026, 5:40 a.m.