Triple
T38268813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syro-Malankara Catholic exarchates |
E1021144
|
entity |
| Predicate | canBeErectedIn |
P23320
|
FINISHED |
| Object | diaspora regions |
—
|
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: diaspora regions | Statement: [Syro-Malankara Catholic exarchates, canBeErectedIn, diaspora regions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeErectedIn Context triple: [Syro-Malankara Catholic exarchates, canBeErectedIn, diaspora regions]
-
A.
placeBuilt
Indicates that a structure or facility was constructed at a specific location.
-
B.
canBePlacedOn
Indicates that one entity is allowed or able to be positioned or set on top of another entity.
-
C.
builtNear
Indicates that one entity was constructed at a location geographically close to another entity.
-
D.
canResideIn
chosen
Indicates that an entity is capable of living, staying, or being located within a specified place or environment.
-
E.
hasBuildingOnIsland
Indicates that a particular building is located on or associated with a specific island.
- 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_69f76dee198c8190bf5109421e47a658 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ffacdf9f5c8190baef0245edfe87fc |
completed | May 9, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69ffac5e86e08190a1e6da0840a237ad |
completed | May 9, 2026, 9:51 p.m. |
Created at: May 3, 2026, 4:30 p.m.