Triple
T1285733
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lebanese American University |
E27428
|
entity |
| Predicate | isNonSectarian |
P26747
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Lebanese American University, isNonSectarian, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNonSectarian Context triple: [Lebanese American University, isNonSectarian, true]
-
A.
attitudeToSectarianism
Indicates an entity’s stance or disposition toward sectarianism, such as support, opposition, or neutrality.
-
B.
nonParticipatingChurch
Indicates that a church is not taking part in a specified activity, program, event, or agreement.
-
C.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
D.
hasReligiousWing
Indicates that an organization or entity includes a distinct division, branch, or component dedicated to religious activities, functions, or purposes.
-
E.
hasSecularAspects
Indicates that something includes or exhibits non-religious, worldly, or secular characteristics or dimensions.
- 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_69a496d4ec448190ad653b2590c46711 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c0b85eb48190a8b61dc397fa6390 |
completed | March 1, 2026, 10:42 p.m. |
| PD | Predicate disambiguation | batch_69a4bee276d8819092f71c5a1140bb61 |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bf60545c8190901ccfb2cb7c4b41 |
completed | March 1, 2026, 10:36 p.m. |
Created at: March 1, 2026, 7:51 p.m.