Triple
T19898784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cagayan Province |
E478223
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Amulung |
—
|
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: Amulung | Statement: [Cagayan Province, hasMunicipality, Amulung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amulung Context triple: [Cagayan Province, hasMunicipality, Amulung]
-
A.
Amulung
chosen
Amulung is a municipality in the province of Cagayan in the Cagayan Valley region of the Philippines, known for its agricultural economy and rural communities.
-
B.
Ulawun
Ulawun is one of Papua New Guinea’s most active and dangerous stratovolcanoes, located on the island of New Britain.
-
C.
Alsunga
Alsunga is a small historic town in western Latvia known for its rich Suiti cultural heritage and traditional Catholic community.
-
D.
Yunndaga
Yunndaga is a small rural locality in the Shire of Menzies in the Goldfields region of Western Australia, historically associated with gold mining.
-
E.
Upangas
Upangas are a group of secondary Jain scriptures that elaborate and supplement the teachings found in the primary Agamas.
- 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_69d8e520682081909892916424699bd5 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6593fbb348190afa7acf45af406ed |
completed | April 20, 2026, 4:50 p.m. |
Created at: April 10, 2026, 1:52 p.m.