Triple
T19331288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quirino Province |
E483499
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Maddela |
—
|
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: Maddela | Statement: [Quirino Province, hasMunicipality, Maddela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maddela Context triple: [Quirino Province, hasMunicipality, Maddela]
-
A.
Maddela
chosen
Maddela is a landlocked municipality in the province of Quirino in the Cagayan Valley region of the Philippines, known for its mountainous terrain and agricultural economy.
-
B.
Gudala
Gudala is a subgroup of the Sanhaja, a historic Berber tribal confederation of North Africa and the Sahara.
-
C.
Konidela
Konidela is a prominent Indian family name best known for its association with Telugu film megastar Chiranjeevi and his influential film dynasty.
-
D.
Kadaru
Kadaru is a Nubian language spoken by the Kadaru people in parts of Sudan.
-
E.
Mulam
Mulam is an ethnic minority group in southern China, primarily residing in Guangxi, known for its Kam–Sui language and distinct traditional culture.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e616422fa08190bf4bde4312ec7cf3 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 10, 2026, 1:33 p.m.