Triple
T15722695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sagay |
E381139
|
entity |
| Predicate | hasBodyOfWater |
P1778
|
FINISHED |
| Object | Visayan Sea |
E136986
|
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: Visayan Sea | Statement: [Sagay, hasBodyOfWater, Visayan Sea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Visayan Sea Context triple: [Sagay, hasBodyOfWater, Visayan Sea]
-
A.
Visayan Sea
chosen
The Visayan Sea is a central Philippine sea renowned for its rich fishing grounds and its location surrounded by the islands of the Visayas.
-
B.
Luzon Sea
The Luzon Sea is a marginal sea of the western Pacific Ocean located west of Luzon Island in the Philippines.
-
C.
Sibuyan Sea
The Sibuyan Sea is a marginal sea of the western Pacific Ocean in the central Philippines, known as the site of major World War II naval battles and shipwrecks.
-
D.
Samar Sea
The Samar Sea is a small sea in the central Philippines, bordered by the islands of Samar, Masbate, Leyte, and others, and known for its rich marine biodiversity and fishing grounds.
-
E.
Bohol Sea
The Bohol Sea, also known as the Mindanao Sea, is a deep basin in the southern Philippines renowned for its rich marine biodiversity and popular dive sites.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb1fdd4819088f3e243263e5f73 |
completed | April 16, 2026, 2:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa129a6448190affdee9d0b1362bc |
completed | May 9, 2026, 9:03 p.m. |
Created at: April 10, 2026, 4:45 a.m.