Triple
T16217376
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PAGASA |
E393628
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | PAGASA |
E393628
|
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: PAGASA | Statement: [PAGASA, shortName, PAGASA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAGASA Context triple: [PAGASA, shortName, PAGASA]
-
A.
PAGASA
chosen
PAGASA is the Philippine government’s national meteorological and hydrological agency responsible for weather forecasting, flood warnings, and related atmospheric services.
-
B.
Arambol
Arambol is a popular coastal village in North Goa, India, known for its scenic beach, relaxed atmosphere, and vibrant backpacker and alternative music scene.
-
C.
Typhoon
Typhoon is the NATO reporting name for the Soviet/Russian Project 941 class of massive nuclear-powered ballistic missile submarines, among the largest submarines ever built.
-
D.
Typhoon
"Typhoon" is a novella by Joseph Conrad that vividly portrays a steamship captain and his crew battling a violent storm at sea, exploring themes of duty, endurance, and human insignificance before nature.
-
E.
Typhoon Haiyan
Typhoon Haiyan was one of the strongest and deadliest tropical cyclones ever recorded, devastating large parts of the Philippines and surrounding regions in November 2013.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e227f76f748190831d230d32c18611 |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000796bc5c81909d2acb68851c9bb8 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.