Triple
T24033501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musa al-Sadr |
E595165
|
entity |
| Predicate | disappearanceContext |
P154586
|
FINISHED |
| Object | official visit to Libya |
—
|
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: official visit to Libya | Statement: [Musa al-Sadr, disappearanceContext, official visit to Libya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disappearanceContext Context triple: [Musa al-Sadr, disappearanceContext, official visit to Libya]
-
A.
disappearanceOf
Indicates that one entity ceases to exist, be present, or be observable in relation to another entity, context, or time.
-
B.
disappearance
Indicates that an entity ceases to be present, visible, or detectable in a given context or location.
-
C.
disappearedDuring
Indicates that an entity ceased to be observable or present during the time span or event associated with another entity.
-
D.
disappearanceCause
Indicates the reason or factor that led to an entity’s disappearance.
-
E.
placeOfDisappearance
Indicates the location where an entity was last seen or went missing.
- 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_69e288bf45f08190a1b6ed8cd0b9e86b |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1d8d0ec8081908f98e78944bff040 |
completed | April 29, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69f1764345388190a3102b62ddb729b4 |
completed | April 29, 2026, 3:08 a.m. |
| PDg | Predicate description generation | batch_69f1785afe3c81909be28986ffe944bf |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 9:56 p.m.