Triple
T27088352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antipolo Cathedral |
E686094
|
entity |
| Predicate | imageOrigin |
P161839
|
FINISHED |
| Object | Mexico |
—
|
NE NERFINISHED |
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: Mexico | Statement: [Antipolo Cathedral, imageOrigin, Mexico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: imageOrigin Context triple: [Antipolo Cathedral, imageOrigin, Mexico]
-
A.
imageOf
Indicates that one entity is a visual representation or depiction of another entity.
-
B.
maskOrigin
Indicates that one entity serves as the original source or basis from which another entity’s mask or masking representation is derived.
-
C.
squareOriginalName
Indicates that the entity’s name is the original, canonical name of a square (e.g., a public square or plaza), as opposed to an alternate or derived name.
-
D.
physicalOrigin
Indicates that one entity is the place or source from which another entity physically originates or comes into existence.
-
E.
colorOrigin
Indicates the source or cause from which an entity’s color is derived or determined.
- F. None of above. chosen
Provenance (4 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f623480110819088369af135123c24 |
completed | May 2, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69f61b40f02081909bd9c3ea73249163 |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61fa35ac48190890102c348ed81a0 |
completed | May 2, 2026, 4 p.m. |
Created at: April 27, 2026, 8:39 a.m.