Triple
T24104515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Dhabi–Dubai border |
E597183
|
entity |
| Predicate | hasNoInternationalStatus |
P155078
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Abu Dhabi–Dubai border, hasNoInternationalStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoInternationalStatus Context triple: [Abu Dhabi–Dubai border, hasNoInternationalStatus, true]
-
A.
hasInternationalStatus
Indicates that an entity holds a recognized status, role, or standing at the international level rather than being limited to a single country or local jurisdiction.
-
B.
hasNoInternationalCrossing
Indicates that there is no crossing or connection between the entities that extends across international borders.
-
C.
hasInternationalService
Indicates that an entity provides or is connected to transportation or communication services that operate across national borders.
-
D.
isInternational
Indicates that something has a connection to, involves, or extends across more than one country.
-
E.
hasInternationalField
Indicates that an entity includes or is associated with a field, attribute, or component that pertains to international or cross-border aspects.
- 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_69e288c60f9c8190af948d7354aedbeb |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1de1399108190986f604468cd5858 |
completed | April 29, 2026, 10:31 a.m. |
| PD | Predicate disambiguation | batch_69f17651458c8190bbfd301883e46085 |
completed | April 29, 2026, 3:09 a.m. |
| PDg | Predicate description generation | batch_69f17b58012c81909106b332db399023 |
completed | April 29, 2026, 3:30 a.m. |
Created at: April 17, 2026, 11:01 p.m.