Triple
T3756659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Balangiga massacre |
E82063
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Balangiga, Samar |
E66623
|
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: Balangiga, Samar | Statement: [Balangiga massacre, location, Balangiga, Samar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balangiga, Samar Context triple: [Balangiga massacre, location, Balangiga, Samar]
-
A.
Samar Province
chosen
Samar Province is a largely rural island province in the Eastern Visayas region of the Philippines, known for its rugged landscapes, caves, and strong Waray-speaking cultural heritage.
-
B.
Leyte
Leyte is a large island province in the Eastern Visayas region of the Philippines, known for its rich cultural traditions and historical significance, including major World War II events.
-
C.
Guimaras
Guimaras is a small island province in the Philippines known for its mango production, coastal scenery, and predominantly Hiligaynon-speaking population.
-
D.
Romblon
Romblon is an island province in the Philippines known for its marble industry, clear waters, and scenic beaches.
-
E.
Siquijor
Siquijor is a small island province in the central Philippines known for its white-sand beaches, coral reefs, and folklore surrounding mysticism and traditional healing.
- 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_69ad8b1db40081908b61ffa6b78afd4d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcbbe7a6081909b0f835a77941300 |
completed | March 8, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4fb0fc6248190b2f4adf3fd2d73d9 |
completed | March 14, 2026, 6:07 a.m. |
Created at: March 8, 2026, 3:35 p.m.