Triple
T11953764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surigao del Sur |
E284494
|
entity |
| Predicate | hasMajorLanguage |
P207
|
FINISHED |
| Object | Kamayo |
E336299
|
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: Kamayo | Statement: [Surigao del Sur, hasMajorLanguage, Kamayo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kamayo Context triple: [Surigao del Sur, hasMajorLanguage, Kamayo]
-
A.
Kamayo
chosen
Kamayo is an Austronesian language spoken primarily in parts of Mindanao in the Philippines, particularly in the Caraga region.
-
B.
Kapyong
Kapyong is a Korean War battlefield in South Korea renowned for a pivotal 1951 engagement in which outnumbered UN forces, including Canadian troops, halted a major Chinese offensive.
-
C.
Mangilao
Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
-
D.
Maragondon
Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
-
E.
Kayabacho
Kayabacho is a commercial district in Tokyo's Chūō ward known as a financial hub with dense office buildings and convenient subway access.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4590584608190bc00840c43f115a0 |
completed | May 1, 2026, 7:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.