Triple
T27963809
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Palestine representative to the Arab League |
E704660
|
entity |
| Predicate | representsOnIssue |
P20467
|
FINISHED |
| Object | Palestinian statehood |
—
|
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: Palestinian statehood | Statement: [Palestine representative to the Arab League, representsOnIssue, Palestinian statehood]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsOnIssue Context triple: [Palestine representative to the Arab League, representsOnIssue, Palestinian statehood]
-
A.
positionOnIssue
chosen
Indicates the stance or viewpoint an entity holds regarding a specific issue or topic.
-
B.
isRepresentedOn
Indicates that something serves as a visual, symbolic, or formal depiction of something else on a particular medium or surface.
-
C.
reportedOn
Indicates that one entity has provided an account, description, or coverage of another entity, typically as news, documentation, or an official report.
-
D.
involvesIssue
Indicates that an action, event, or entity is related to, concerns, or includes a particular issue.
-
E.
containsIssue
Indicates that one entity includes, encompasses, or has within it a particular issue, problem, or defect.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f7cec454a88190a9f3bbee2b856636 |
completed | May 3, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69f7c8977c288190997a892ec5f756ed |
completed | May 3, 2026, 10:13 p.m. |
Created at: April 27, 2026, 7:33 p.m.