Triple
T15933174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubao |
E386371
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Orani |
E317271
|
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: Orani | Statement: [Lubao, borderedBy, Orani]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orani Context triple: [Lubao, borderedBy, Orani]
-
A.
Orani
chosen
Orani is a coastal municipality in the province of Bataan in the Philippines, known for its fishing industry, agricultural lands, and proximity to Manila Bay.
-
B.
Oras
Oras is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and Pacific shoreline.
-
C.
Barden
Barden is a small village in North Yorkshire, England, known for its scenic location in Wharfedale within the Yorkshire Dales.
-
D.
Ochre City
Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
-
E.
Anagnia
Anagnia was an ancient city in central Italy that served as the principal urban center of the Hernici people before coming under Roman influence.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a7bdd88190b1d7349ef920fd06 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b514108190965e77346d8b476e |
completed | May 9, 2026, 10:31 p.m. |
Created at: April 10, 2026, 4:53 a.m.