Triple
T34843009
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qatar Peninsula |
E1004391
|
entity |
| Predicate | formsMainTerritoryOf |
P1103
|
FINISHED |
| Object | State of Qatar |
—
|
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: State of Qatar | Statement: [Qatar Peninsula, formsMainTerritoryOf, State of Qatar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: formsMainTerritoryOf Context triple: [Qatar Peninsula, formsMainTerritoryOf, State of Qatar]
-
A.
definedTerritoryOf
Indicates that one entity specifies or establishes the official territorial boundaries or jurisdiction of another entity.
-
B.
primaryTerritory
chosen
Indicates that a specified area or region is the main or most important territory associated with an entity.
-
C.
missionTerritoryOf
Indicates that a specified territory is under the jurisdiction or scope of a particular mission.
-
D.
mainTerritoryOfInfluence
Indicates the primary geographic area where an entity exerts the most significant control, impact, or influence.
-
E.
territoryCorrespondedTo
Indicates that one territory matched, aligned with, or was equivalent to another territory in scope, boundaries, or designation.
- 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_69f76db97714819099b5bed36fd64e9d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd0d0ba5c48190bddb3f0e6637544c |
completed | May 7, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69fd0c4324a8819086c90adf46216e0e |
completed | May 7, 2026, 10:03 p.m. |
Created at: May 3, 2026, 4 p.m.