Triple
T20321529
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YPG |
E492216
|
entity |
| Predicate | opponent |
P437
|
FINISHED |
| Object | al-Nusra Front |
—
|
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: al-Nusra Front | Statement: [YPG, opponent, al-Nusra Front]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: al-Nusra Front Context triple: [YPG, opponent, al-Nusra Front]
-
A.
Jabhat al-Nusra
chosen
Jabhat al-Nusra is a jihadist militant group in Syria that served as al-Qaeda’s affiliate in the country and became one of the most powerful Islamist factions in the Syrian conflict.
-
B.
Jaish al-Islam
Jaish al-Islam is a Syrian Islamist rebel group that became one of the most powerful opposition factions during the Syrian civil war, particularly around Damascus.
-
C.
Fatah al-Islam
Fatah al-Islam is a militant Islamist group based in Lebanon, known for its violent confrontations with the Lebanese army and its role in regional jihadist networks.
-
D.
Hayat Tahrir al-Sham
Hayat Tahrir al-Sham is a powerful Islamist militant coalition in Syria, widely considered the dominant jihadist faction in the Idlib region.
-
E.
Hezb-e Islami
Hezb-e Islami is an Afghan Islamist political and militant organization that has played a significant role in the country’s conflicts since the late 20th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778c4430819083b17da5067b88ef |
completed | April 20, 2026, 6:59 p.m. |
Created at: April 16, 2026, 11:20 a.m.