Triple

T8955430
Position Surface form Disambiguated ID Type / Status
Subject Al-Shifa Hospital E213458 entity
Predicate alternativeName P39 FINISHED
Object Shifa Hospital E213458 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: Shifa Hospital | Statement: [Al-Shifa Hospital, alternativeName, Shifa Hospital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shifa Hospital
Context triple: [Al-Shifa Hospital, alternativeName, Shifa Hospital]
  • A. Al-Shifa Hospital chosen
    Al-Shifa Hospital is the largest medical complex and central hospital in the Gaza Strip, serving as a primary healthcare and emergency facility for Gaza City and surrounding areas.
  • B. Nishtar Hospital
    Nishtar Hospital is a major public teaching hospital and medical facility in Multan, Pakistan, named in honor of political leader Sardar Abdur Rab Nishtar.
  • C. Tata Main Hospital
    Tata Main Hospital is a major multi-specialty healthcare institution in Jamshedpur, serving the medical needs of the city’s industrial workforce and surrounding communities.
  • D. Muwasat University Hospital
    Muwasat University Hospital is a major teaching and healthcare facility affiliated with Damascus University in Syria.
  • E. Siriraj Hospital
    Siriraj Hospital is Thailand’s oldest and one of its largest and most prestigious public teaching hospitals, serving as a major medical and research center in Bangkok.
  • 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_69ca8399ad2081909f8fa41d4314c215 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6726cec48190a900ae52b1522adb completed April 1, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc93ed3308190a39069d7b7d4ea3d completed April 3, 2026, 2:05 p.m.
Created at: March 30, 2026, 7 p.m.