Triple
T19031687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Union |
E465754
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Agoo |
E562605
|
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: Agoo | Statement: [La Union, hasMunicipality, Agoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agoo Context triple: [La Union, hasMunicipality, Agoo]
-
A.
Agoo
chosen
Agoo is a coastal municipality in the province of La Union, Philippines, known for its fishing communities, beaches, and historical churches along the Lingayen Gulf.
-
B.
Gooigi
Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
-
C.
Aokas
Aokas is a coastal town in northern Algeria known for its Mediterranean beaches, karst caves, and location along the scenic shoreline of Béjaïa Province.
-
D.
Oskoo
Oskoo is a town in northwestern Iran situated near the foothills of Mount Sahand, known for its scenic mountainous surroundings and traditional Azerbaijani culture.
-
E.
Fagu
Fagu is a small, scenic hill station near Shimla in Himachal Pradesh, India, known for its apple orchards, terraced fields, and panoramic Himalayan views.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d7410dd08190b08a7c0a2b8d67f3 |
completed | April 20, 2026, 7:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05be59f0088190ae133c2d12beb2c0 |
completed | May 14, 2026, 12:21 p.m. |
Created at: April 10, 2026, 12:02 p.m.