Triple
T20025537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Leyte |
E494972
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Dagami |
—
|
NE NERFINISHED |
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: Dagami | Statement: [Province of Leyte, hasMunicipality, Dagami]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dagami Context triple: [Province of Leyte, hasMunicipality, Dagami]
-
A.
Dagami
chosen
Dagami is a municipality in the province of Leyte in the Philippines, known for its agricultural economy and traditional rice-based delicacies.
-
B.
Ōyamatsumi
Ōyamatsumi is a Shinto mountain and sea god revered as a powerful kami of nature, warfare, and protection.
-
C.
Kamenari
Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
-
D.
Dagana
Dagana is a historic town in the Senegal River valley that served as an important center in the former Futa Tooro region.
-
E.
Makhai
Makhai are personified spirits of battle and combat in Greek mythology, often associated with the chaos and violence of war.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628d5b8c8190a35f95ac4a016550 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.