Triple
T3770832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pampanga |
E83192
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Angeles City |
E104973
|
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: Angeles City | Statement: [Pampanga, hasCity, Angeles City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angeles City Context triple: [Pampanga, hasCity, Angeles City]
-
A.
Angeles City
chosen
Angeles City is a highly urbanized city in the Philippines’ Pampanga province, known as a commercial and cultural hub in Central Luzon.
-
B.
San Angeles
San Angeles is a fictional futuristic megacity formed from the merger of Los Angeles and San Diego in the science fiction film "Demolition Man."
-
C.
East Los Angeles
East Los Angeles is an unincorporated, predominantly Latino community in Los Angeles County known for its rich Chicano culture, historic role in civil rights movements, and vibrant neighborhoods east of downtown Los Angeles.
-
D.
Long Beach
Long Beach is a coastal city in Southern California known for its busy port, waterfront attractions, and diverse urban community within the Los Angeles metropolitan area.
-
E.
Los Ángeles
Los Ángeles is a mid-sized Chilean city known as an important commercial and agricultural center in the south-central part of the country.
- 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_69ad8b235e608190b5a2b1d1bfcef50b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcc307cf8819090730b5e697bb197 |
completed | March 8, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e5287908819084319b8dfa407635 |
completed | March 14, 2026, 4:33 a.m. |
Created at: March 8, 2026, 3:36 p.m.