Triple

T669991
Position Surface form Disambiguated ID Type / Status
Subject Knights Hospitaller E12949 entity
Predicate operatedHospitalsIn P18141 FINISHED
Object Jerusalem E6995 NE FINISHED

How this triple was built (3 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: Jerusalem | Statement: [Knights Hospitaller, operatedHospitalsIn, Jerusalem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Jerusalem
Context triple: [Knights Hospitaller, operatedHospitalsIn, Jerusalem]
  • A. Jerusalem chosen
    Jerusalem is an ancient and historically significant city in the Middle East that serves as a major religious and cultural center for Judaism, Christianity, and Islam.
  • B. West Jerusalem
    West Jerusalem is the predominantly Jewish, modern western sector of Jerusalem that has served as the seat of Israel’s government institutions since 1949.
  • C. Ramla
    Ramla is an Israeli city historically significant as a major religious and communal center for Karaite Jews.
  • D. Tel Aviv
    Tel Aviv is a major Israeli coastal city known for its vibrant nightlife, high-tech industry, and modernist architecture.
  • E. Bethlehem
    Bethlehem is an ancient town in the West Bank historically revered as the birthplace of Jesus and a major center of Christian pilgrimage.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: operatedHospitalsIn
Context triple: [Knights Hospitaller, operatedHospitalsIn, Jerusalem]
  • A. servesAsPrimaryTeachingHospitalFor
    Indicates that one institution functions as the main clinical training and teaching site for another institution, typically a medical school or academic program.
  • B. operatedFor
    Indicates that one entity performed operations or provided services on behalf of, or in support of, another entity for a certain period or purpose.
  • C. isTeachingHospitalFor
    Indicates that one institution serves as a clinical training site or educational facility for another, typically a medical school or health education program.
  • D. healthSystem
    Indicates a relationship where an entity functions as, belongs to, or is managed within a particular health care system or network.
  • E. operatedAs
    Indicates that an entity functioned or was used in the capacity, role, or identity of another entity for some period of time.
  • F. None of above. chosen

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_69a493355dec819098d4244b2fa34885 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49ffd2b508190ac5adc04163e360f completed March 1, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c7074cc88190912969a1ba0a8c6e completed March 4, 2026, 5:45 a.m.
PD Predicate disambiguation batch_69a49d18942c819083b3d1887e505900 completed March 1, 2026, 8:10 p.m.
PDg Predicate description generation batch_69a49fcf0cb4819096edea4037ca2c03 completed March 1, 2026, 8:21 p.m.
Created at: March 1, 2026, 7:36 p.m.