Triple
T14048547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lagonoy Gulf |
E338023
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Lagonoy |
E1084124
|
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: Lagonoy | Statement: [Lagonoy Gulf, namedAfter, Lagonoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lagonoy Context triple: [Lagonoy Gulf, namedAfter, Lagonoy]
-
A.
Lagonoy
chosen
Lagonoy is a coastal municipality in the province of Camarines Sur in the Bicol Region of the Philippines, known for agriculture and fishing.
-
B.
Anahawan
Anahawan is a coastal municipality in the province of Southern Leyte in the Philippines, known for its rural communities and agricultural economy.
-
C.
Bajo de Masinloc
Bajo de Masinloc is a disputed South China Sea atoll, internationally known as Scarborough Shoal, claimed by both the Philippines and China for its strategic location and rich fishing grounds.
-
D.
Lubuagan
Lubuagan is a landlocked, mountainous municipality in the Philippine province of Kalinga known for its rich indigenous culture and history.
-
E.
Guinsiliban
Guinsiliban is a coastal municipality on the island-province of Camiguin in the Philippines, known for its rural communities and proximity to volcanic landscapes and marine attractions.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c88b5e48190b0f0149102c08992 |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c255d8c81908bdac0a28718563e |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 9, 2026, 10:20 p.m.