Triple
T23635335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puente Genil |
E583726
|
entity |
| Predicate | hasProvincialTelephoneCode |
P223
|
FINISHED |
| Object | 957 |
—
|
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: 957 | Statement: [Puente Genil, hasProvincialTelephoneCode, 957]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProvincialTelephoneCode Context triple: [Puente Genil, hasProvincialTelephoneCode, 957]
-
A.
hasProvincialCode
Indicates that an entity is associated with a specific provincial code that identifies its province or administrative region.
-
B.
provinceNumber
Indicates a relationship where an entity is assigned a specific numerical identifier corresponding to a province.
-
C.
hasAreaCode
Indicates that a specified telephone area code is assigned to or associated with a particular geographic region, location, or phone service entity.
-
D.
hasAreaCodeCountry
Indicates that a particular telephone area code is associated with or belongs to a specific country.
-
E.
areaCode
chosen
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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1ec38f48190832d919391971ddb |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d7903c8190bb590a71771e93af |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.