Triple
T30603537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quwwāt Sūriyā al-Dīmuqrāṭīya |
E778974
|
entity |
| Predicate | hasArabComponent |
P191897
|
FINISHED |
| Object | Syrian Arab militias |
—
|
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: Syrian Arab militias | Statement: [Quwwāt Sūriyā al-Dīmuqrāṭīya, hasArabComponent, Syrian Arab militias]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArabComponent Context triple: [Quwwāt Sūriyā al-Dīmuqrāṭīya, hasArabComponent, Syrian Arab militias]
-
A.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
B.
hasKeyTermArabic
Indicates that an entity is associated with a specific key term expressed in the Arabic language.
-
C.
hasArabPopulation
Indicates that an entity possesses or includes a population composed of Arab people.
-
D.
hasArabicVocalsBy
Indicates that the subject has Arabic-language vocal performance provided by the specified entity.
-
E.
correspondsToInArabic
Indicates that one entity is the equivalent or matching counterpart of another entity specifically in the Arabic language.
- 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_69f224a21fc08190abd9d8dd9eb6bb4c |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fcef654d588190b29ecc76678d1aa0 |
completed | May 7, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69fcecdb97f48190b382b7d13be92dc0 |
completed | May 7, 2026, 7:49 p.m. |
| PDg | Predicate description generation | batch_69fcef636dfc819085cf91323f2e4edd |
completed | May 7, 2026, 8 p.m. |
Created at: April 29, 2026, 8:25 p.m.