Triple

T6719569
Position Surface form Disambiguated ID Type / Status
Subject Abu Madyan E153360 entity
Predicate name P16 FINISHED
Object Abu Madyan E153360 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: Abu Madyan | Statement: [Abu Madyan, name, Abu Madyan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Abu Madyan
Context triple: [Abu Madyan, name, Abu Madyan]
  • A. Abu Madyan chosen
    Abu Madyan was a prominent 12th-century Andalusian-Maghrebi Sufi master and spiritual teacher whose doctrines deeply shaped later Islamic mysticism.
  • B. Nukhayb
    Nukhayb is a small, strategically located town in Iraq’s western Anbar Governorate, serving as a key transit point near the Iraq–Saudi Arabia border.
  • C. Khan al-Khayyatin
    Khan al-Khayyatin is a historic caravanserai and traditional marketplace in Tripoli, Lebanon, known for its tailors and textile shops.
  • D. Abu Al Hasaniya
    Abu Al Hasaniya is a coastal residential district in Kuwait known for its upscale housing and seaside location.
  • E. Khan al-Umdan
    Khan al-Umdan is a well-preserved 18th-century Ottoman caravanserai in the Old City of Akko, Israel, renowned for its arcaded courtyard and distinctive granite columns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69c68809b4608190a2509ddb5ab87f05 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d137084881908e04ee6b2bd45585 completed March 27, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7129975fc8190984132e0680b46c6 completed March 27, 2026, 11:28 p.m.
Created at: March 27, 2026, 2:07 p.m.