Triple
T5536647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Lebanon Army |
E145177
|
entity |
| Predicate | statusInLebanon |
P64793
|
FINISHED |
| Object | considered a collaborator force by many Lebanese |
—
|
LITERAL FINISHED |
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: considered a collaborator force by many Lebanese | Statement: [South Lebanon Army, statusInLebanon, considered a collaborator force by many Lebanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInLebanon Context triple: [South Lebanon Army, statusInLebanon, considered a collaborator force by many Lebanese]
-
A.
legalStatusInSyria
Indicates the legal status or condition an entity holds under the laws and regulations of Syria.
-
B.
statusInEgypt
Indicates the legal, social, or official condition or standing that an entity holds specifically within the context of Egypt.
-
C.
expelledFromLebanonIn
Indicates that an entity was expelled from Lebanon in a specified year or time period.
-
D.
statusInLibya
Indicates the legal, social, or political condition or standing that an entity holds within the context of Libya.
-
E.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
- 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_69c008fa64888190adae56c8f9ea4031 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01fb07e748190bea74bbde2d7b8ba |
completed | March 22, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69c01b0c50e48190a1b03ecd20ca440b |
completed | March 22, 2026, 4:38 p.m. |
| PDg | Predicate description generation | batch_69c01f4032408190a4f0d2eb21ebd870 |
completed | March 22, 2026, 4:56 p.m. |
Created at: March 22, 2026, 3:34 p.m.