Triple
T4145408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ometepe Island |
E89369
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Balgüe |
E402685
|
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: Balgüe | Statement: [Ometepe Island, hasSettlement, Balgüe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balgüe Context triple: [Ometepe Island, hasSettlement, Balgüe]
-
A.
Balgüe
chosen
Balgüe is a small rural village on Ometepe Island in Lake Nicaragua, known for its scenic setting near volcanic landscapes and eco-tourism lodges.
-
B.
Buk-gu
Buk-gu is a northern administrative district of the metropolitan city of Ulsan in South Korea.
-
C.
Miryang
Miryang is a city in South Gyeongsang Province, South Korea, known for its scenic river valley setting, historical sites, and role as a regional transport and educational hub.
-
D.
Gwangalli
Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
-
E.
Lambayong
Lambayong is a municipality in the province of Sultan Kudarat in the Philippines, known for its predominantly agricultural economy and rural communities.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af025e850c819085ec05b9d9b60712 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f2e787881908a9721877b0fd4ae |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.