Triple
T21516568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanese Forces |
E530857
|
entity |
| Predicate | militaryWingStatus |
P144685
|
FINISHED |
| Object | disbanded |
—
|
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: disbanded | Statement: [Lebanese Forces, militaryWingStatus, disbanded]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: militaryWingStatus Context triple: [Lebanese Forces, militaryWingStatus, disbanded]
-
A.
MBTAFleetStatus
Indicates the operational status or condition of a vehicle or group of vehicles within the MBTA transit fleet at a given time.
-
B.
militaryBaseStatus
Indicates the operational condition or readiness state of a military base at a given time.
-
C.
militaryWingLeader
Indicates that one entity is the leader or head of the military wing or armed branch associated with another entity.
-
D.
youthWingStatus
Indicates the status or role an entity holds within a youth wing organization, such as membership, affiliation, or position.
-
E.
aircraftStatus
Indicates the current operational condition or state of an aircraft (e.g., active, grounded, in maintenance, or decommissioned).
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee81416f288190a62f62ddd6895b24 |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e6320043bc81909417c41a718652ba |
completed | April 20, 2026, 2:02 p.m. |
| PDg | Predicate description generation | batch_69e6386c5a4481909c37f7de7e9fc025 |
completed | April 20, 2026, 2:30 p.m. |
Created at: April 16, 2026, 6:25 p.m.