Triple
T10747796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayungon |
E253494
|
entity |
| Predicate | hasProvincialDialingCode |
P190
|
FINISHED |
| Object | (Negros Oriental code) |
—
|
LITERAL 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: (Negros Oriental code) | Statement: [Ayungon, hasProvincialDialingCode, (Negros Oriental code)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProvincialDialingCode Context triple: [Ayungon, hasProvincialDialingCode, (Negros Oriental code)]
-
A.
hasIslandDialingCode
Indicates that an island is associated with a particular telephone dialing code used for placing calls to it.
-
B.
hasAreaCode
chosen
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
-
C.
provinceNumber
Indicates a relationship where an entity is assigned a specific numerical identifier corresponding to a province.
-
D.
hasAreaCodeCountry
Indicates that a particular telephone area code is associated with or belongs to a specific country.
-
E.
areaCode
Indicates that a location, phone number, or region is associated with a specific telephone area code.
- F. None of above.
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_69d6aa5e51e8819095f06881cecf152e |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d711b9242c81908dbf3fa155159b3c |
completed | April 9, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69d6f30df9948190ab3cdc33977fac14 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:15 p.m.