Triple
T5264206
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dar al-Sulh |
E118898
|
entity |
| Predicate | hasPerspective |
P380
|
FINISHED |
| Object | viewed as intermediate category between Dar al-Islam and Dar al-Harb by some jurists |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: viewed as intermediate category between Dar al-Islam and Dar al-Harb by some jurists | Statement: [Dar al-Sulh, hasPerspective, viewed as intermediate category between Dar al-Islam and Dar al-Harb by some jurists]
Provenance (2 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_69bd446a42c88190b7ecbef006561d55 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7bd4a9888190a79ef8e64c764f86 |
completed | March 20, 2026, 4:54 p.m. |
Created at: March 20, 2026, 1:51 p.m.