Triple
T11851894
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Midsayap |
E281926
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Pikit |
E281938
|
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: Pikit | Statement: [Midsayap, borderedBy, Pikit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pikit Context triple: [Midsayap, borderedBy, Pikit]
-
A.
Pikit
chosen
Pikit is a municipality in the province of North Cotabato in the Philippines, known for its diverse cultural communities and its location in the conflict-affected but strategically important Mindanao region.
-
B.
Pipiriki
Pipiriki is a small rural settlement in New Zealand’s central North Island, known as a gateway to the Whanganui River and Whanganui National Park.
-
C.
Pichi
Pichi is an English-based creole language spoken primarily on the island of Bioko in Equatorial Guinea.
-
D.
Fuleco
Fuleco is the armadillo-themed official mascot of the 2014 FIFA World Cup in Brazil, designed to highlight Brazilian culture and environmental awareness.
-
E.
Puntila
Puntila is a wealthy, mercurial Finnish landowner whose shifting moods and class contradictions drive the social and political satire in Bertolt Brecht’s play "Mr Puntila and His Man Matti."
- 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_69d6ab287ba48190a5178779fd19b9b7 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a696ee548190800d56c64c339b10 |
completed | April 10, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f167c9d4e88190bfaadada0450e639 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 8, 2026, 9:43 p.m.