Triple
T24320960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Said |
E612960
|
entity |
| Predicate | notableTerritorialInfluence |
P104376
|
FINISHED |
| Object | Zanzibar |
—
|
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: Zanzibar | Statement: [Al Said, notableTerritorialInfluence, Zanzibar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableTerritorialInfluence Context triple: [Al Said, notableTerritorialInfluence, Zanzibar]
-
A.
mainTerritoryOfInfluence
chosen
Indicates the primary geographic area where an entity exerts the most significant control, impact, or influence.
-
B.
hasRegionalInfluenceFrom
Indicates that one entity’s influence, impact, or authority in a region is derived from or shaped by another entity.
-
C.
historicalRegionOfInfluence
Indicates that one entity was historically within the geographic, political, or cultural sphere of influence of another entity.
-
D.
hasTerritorialSignificance
Indicates that something holds importance, influence, or relevance specifically in relation to a particular geographic area or territory.
-
E.
countryInfluence
Indicates the degree to which one country affects or shapes the policies, decisions, or conditions within another country or in the international arena.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292ab2fa08190bc19c3edc0a1a9b2 |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:50 a.m.