Triple
T5536480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Lebanon |
E145174
|
entity |
| Predicate | sawClashesIn |
P64791
|
FINISHED |
| Object | Tripoli during the Lebanese Civil War |
—
|
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: Tripoli during the Lebanese Civil War | Statement: [North Lebanon, sawClashesIn, Tripoli during the Lebanese Civil War]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sawClashesIn Context triple: [North Lebanon, sawClashesIn, Tripoli during the Lebanese Civil War]
-
A.
sawCombat
Indicates that an entity directly participated in active military or armed conflict.
-
B.
sawOpponentsAs
Indicates perceiving or regarding certain entities as opponents or adversaries.
-
C.
isEarlyClashIn
Indicates that one event or interaction occurs earlier than and conflicts with another within a specified context or timeframe.
-
D.
clanRival
Indicates a hostile or competitive relationship between two clans, typically involving ongoing conflict, opposition, or rivalry.
-
E.
sawActionOn
Indicates that one entity visually perceived another entity performing an action.
- 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_69c008f9955881909bfa8348b56b4739 |
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.