Triple
T30603520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quwwāt Sūriyā al-Dīmuqrāṭīya |
E778974
|
entity |
| Predicate | hasPrimaryAreaOfOperation |
P46644
|
FINISHED |
| Object | northern Syria |
—
|
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: northern Syria | Statement: [Quwwāt Sūriyā al-Dīmuqrāṭīya, hasPrimaryAreaOfOperation, northern Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryAreaOfOperation Context triple: [Quwwāt Sūriyā al-Dīmuqrāṭīya, hasPrimaryAreaOfOperation, northern Syria]
-
A.
isOneOfMainAreasFor
Indicates that something belongs to the primary set of domains, topics, or fields associated with another entity.
-
B.
hasPrimaryServiceArea
chosen
Indicates that an entity is associated with a main geographic or functional area in which it primarily provides its services.
-
C.
fieldOfOperation
Indicates the domain, area, or scope within which an entity operates or carries out its primary activities.
-
D.
primaryIslandOfOperation
Indicates that an entity mainly conducts its activities or operations on a specified island.
-
E.
hasBaseOfOperations
Indicates that an entity uses a particular location as its primary place of operation or activity.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fffbb5d0188190b6d168de8626ff68 |
completed | May 10, 2026, 3:29 a.m. |
| PD | Predicate disambiguation | batch_69fffa3bc1208190a277961385a4789f |
completed | May 10, 2026, 3:23 a.m. |
Created at: April 29, 2026, 8:25 p.m.