Triple
T30516762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Democratic Union Party |
E776587
|
entity |
| Predicate | hasWomenArmedWing |
P9030
|
FINISHED |
| Object | Women's Protection Units |
—
|
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: Women's Protection Units | Statement: [Democratic Union Party, hasWomenArmedWing, Women's Protection Units]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWomenArmedWing Context triple: [Democratic Union Party, hasWomenArmedWing, Women's Protection Units]
-
A.
womenWing
Indicates a relationship where a woman is associated with or positioned at the wing (side section) of a structure, group, or setting.
-
B.
womensWing
chosen
Indicates a relationship where an entity is designated as the women’s section or women-only wing of a larger place or facility.
-
C.
hasArmedWing
Indicates that an entity maintains, controls, or is associated with an organized armed or military wing.
-
D.
foundedArmedWing
Indicates that an entity established or created an armed wing or militant branch of an organization.
-
E.
hasArmedWingAllegations
Indicates that there are claims or suspicions that the entity maintains, supports, or is associated with an armed wing or militant branch.
- 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_69f2249b23c4819087fa85496d92f43f |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd32848ea88190a71e6df402bbb30e |
completed | May 8, 2026, 12:47 a.m. |
| PD | Predicate disambiguation | batch_69fd2d7e95588190991d5f21e25155df |
completed | May 8, 2026, 12:25 a.m. |
Created at: April 29, 2026, 8:16 p.m.