Triple
T4122525
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cebu Island |
E92646
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Carcar |
E261526
|
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: Carcar | Statement: [Cebu Island, hasMunicipality, Carcar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carcar Context triple: [Cebu Island, hasMunicipality, Carcar]
-
A.
Carcar City
chosen
Carcar City is a component city in the southern part of Cebu province in the Philippines, known for its heritage houses and local delicacies such as chicharrón.
-
B.
Certa Cito
Certa Cito is the Latin motto of the British Army’s Royal Corps of Signals, reflecting their role in providing swift and reliable military communications.
-
C.
Niva
Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
-
D.
Biqueli
Biqueli is a small coastal settlement on Atauro Island in East Timor, known for its fishing community and proximity to coral reefs.
-
E.
Fiat Panda
The Fiat Panda is a popular city car produced by Italian automaker Fiat, known for its compact size, practicality, and affordability.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020728a08190a50a16b40690cbce |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576b13cc881908fea25c686141546 |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:41 p.m.