Triple
T7255217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Fernando, Pampanga |
E157700
|
entity |
| Predicate | wasIncorporatedAsCity |
P306
|
FINISHED |
| Object | February 4, 2001 |
—
|
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: February 4, 2001 | Statement: [San Fernando, Pampanga, wasIncorporatedAsCity, February 4, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasIncorporatedAsCity Context triple: [San Fernando, Pampanga, wasIncorporatedAsCity, February 4, 2001]
-
A.
incorporatedAsCity
chosen
Indicates that an entity was formally established and legally recognized as a city.
-
B.
incorporatedAsTownIn
Indicates that an entity was officially established and given legal status as a town within a specified jurisdiction.
-
C.
incorporatedAsTownship
Indicates that an area or community has been formally established and recognized as a township through a legal or governmental incorporation process.
-
D.
laterIncorporatedInto
Indicates that one entity was subsequently merged into, absorbed by, or formally made part of another entity at a later time.
-
E.
isFormerlyUnincorporated
Indicates that an entity previously had the legal or administrative status of being unincorporated but has since become incorporated.
- 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_69c6882d81d4819085f7ff862951ee4f |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6eaa0c76c81909fe43ed6938a13ea |
completed | March 27, 2026, 8:37 p.m. |
| PD | Predicate disambiguation | batch_69c6e7666ffc81908bf643d8257e6337 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:56 p.m.