Triple
T25934222
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | muftiluks (mufti districts) |
E653508
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object |
majlis (local Islamic community unit)
A majlis is a local Islamic community body that organizes religious, social, and administrative affairs for Muslims in a specific area.
|
E653509
|
NE 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: majlis (local Islamic community unit) | Statement: [muftiluks (mufti districts), isDistinctFrom, majlis (local Islamic community unit)]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: majlis (local Islamic community unit) Triple: [muftiluks (mufti districts), isDistinctFrom, majlis (local Islamic community unit)]
Generated description
A majlis is a local Islamic community body that organizes religious, social, and administrative affairs for Muslims in a specific area.
Provenance (5 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_69e7ab3eb9b881909c1390690551f868 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6041afd808190a105a5d8b798e64b |
completed | May 2, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a10ecdcf658819084e2eefb3b6f05e6 |
completed | May 22, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_6a10ee7a469881908be91b7901ada3a2 |
completed | May 23, 2026, 12:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a10ef6795e08190a1ba5f600628316b |
completed | May 23, 2026, 12:05 a.m. |
Created at: April 22, 2026, 8:37 a.m.