Triple
T24811942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿĀd |
E620812
|
entity |
| Predicate | legacyInIslamicThought |
P26931
|
FINISHED |
| Object | example of a destroyed nation |
—
|
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: example of a destroyed nation | Statement: [ʿĀd, legacyInIslamicThought, example of a destroyed nation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: legacyInIslamicThought Context triple: [ʿĀd, legacyInIslamicThought, example of a destroyed nation]
-
A.
religionEarlyIslamic
Indicates that the entity is associated with or practices an early form of Islam, typically from the formative period of the Islamic faith.
-
B.
roleInIslamicHistory
chosen
Indicates the specific function, status, or contribution an entity has within the context of Islamic historical events, periods, or developments.
-
C.
تاريخ اعتناق الإسلام
Indicates the point in time at which an entity adopted or converted to Islam.
-
D.
politicalStatusEarlyIslamic
Indicates the political role, position, or status an entity held during the early Islamic period.
-
E.
interpretationInIslam
Indicates the religious understanding, explanation, or doctrinal meaning of something specifically within the framework of Islamic belief and scholarship.
- F. None of above.
Provenance (3 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_69e2fabf26bc8190b191faac8f67065b |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f42d9000b8819081ea2605f3c193d6 |
completed | May 1, 2026, 4:35 a.m. |
| PD | Predicate disambiguation | batch_69f420f471a0819095a6cd24ed8f7476 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 4:50 a.m.