Triple
T2855393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plan of Baguio |
E63186
|
entity |
| Predicate | plannerNationality |
P12560
|
FINISHED |
| Object | American |
—
|
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: American | Statement: [Plan of Baguio, plannerNationality, American]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: plannerNationality Context triple: [Plan of Baguio, plannerNationality, American]
-
A.
designerNationality
Indicates that a designer has a specific national or country affiliation.
-
B.
describesNationality
Indicates that one entity specifies the national identity or citizenship associated with another entity.
-
C.
operatorNationality
Indicates that an operator has a specific national affiliation or country of origin.
-
D.
nationalityInStory
Indicates that a character or entity in a narrative is associated with a particular nationality within the context of that story.
-
E.
architectNationality
chosen
Indicates the country or national affiliation associated with an architect.
- 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_69ab4c407c408190857d25e027155ce9 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf60852c8190b66c8719c63a723e |
completed | March 7, 2026, 8:18 a.m. |
| PD | Predicate disambiguation | batch_69abdd10aef88190b750aae07e7df4dc |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.