Triple
T20025535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Leyte |
E494972
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Tolosa |
—
|
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: Tolosa | Statement: [Province of Leyte, hasMunicipality, Tolosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tolosa Context triple: [Province of Leyte, hasMunicipality, Tolosa]
-
A.
Tolosa
Tolosa is a historic town in the Basque province of Gipuzkoa in northern Spain, known for its traditional markets and well-preserved old quarter.
-
B.
Tolosa
chosen
Tolosa is a coastal municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
-
C.
Bagergue
Bagergue is a small picturesque village in the Val d'Aran region of Catalonia, Spain, known for its traditional stone architecture and mountain scenery.
-
D.
Tudela
Tudela is a historic city in northern Spain, known for its rich medieval heritage, strategic location along the Ebro River, and distinctive blend of Christian, Muslim, and Jewish cultural influences.
-
E.
Tarazona
Tarazona is a historic town in northeastern Spain known for its well-preserved Mudejar architecture and scenic setting near the Moncayo massif.
- 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.