Triple
T25283602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiang Mai Initiative Multilateralisation |
E633878
|
entity |
| Predicate | hasPrecautionaryFacility |
P172749
|
FINISHED |
| Object | Precautionary Line |
—
|
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: Precautionary Line | Statement: [Chiang Mai Initiative Multilateralisation, hasPrecautionaryFacility, Precautionary Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrecautionaryFacility Context triple: [Chiang Mai Initiative Multilateralisation, hasPrecautionaryFacility, Precautionary Line]
-
A.
hasCrisisFacility
Indicates that an entity possesses or includes a dedicated facility or service for handling crises or emergency situations.
-
B.
isSecureFacility
Indicates that a facility has protections, controls, and safeguards in place to prevent unauthorized access, tampering, or security breaches.
-
C.
hasHighSecurityFacility
Indicates that an entity possesses or operates a facility characterized by a high level of security measures and protections.
-
D.
hasNotableFacility
Indicates that an entity possesses or hosts a facility that is of particular significance, prominence, or interest.
-
E.
hasRunaroundFacilities
Indicates that an entity is equipped with facilities that allow vehicles or traffic to turn around or reverse direction.
- 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_69e75a9402fc81909362ca85277c06d9 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f6b0d21dd08190a9883ff71c94c71c |
completed | May 3, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
| PDg | Predicate description generation | batch_69f6afeaaef88190aefa97e83f8db906 |
completed | May 3, 2026, 2:16 a.m. |
Created at: April 21, 2026, 1:19 p.m.