Triple

T3931394
Position Surface form Disambiguated ID Type / Status
Subject Zion Gate E90801 entity
Predicate hasAlternativeName P39 FINISHED
Object Bab an-Nabi Dawud
Bab an-Nabi Dawud is a historic gate in the Old City walls of Jerusalem, located near Mount Zion and traditionally associated with the Tomb of King David.
E399460 NE FINISHED

How this triple was built (4 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: Bab an-Nabi Dawud | Statement: [Zion Gate, hasAlternativeName, Bab an-Nabi Dawud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bab an-Nabi Dawud
Context triple: [Zion Gate, hasAlternativeName, Bab an-Nabi Dawud]
  • A. Dawud
    Dawud is a prophet and king in Islamic tradition, known for his wisdom, psalms, and just rule.
  • B. Sulaiman
    Sulaiman is a musical artist known for contributing featured vocals to tracks such as "10 Day."
  • C. Shfar'am
    Shfar'am is an ancient, predominantly Arab city in northern Israel known for its historically mixed Muslim, Christian, and Druze population.
  • D. Mahershalalhashbaz Ali
    Mahershalalhashbaz Ali, known professionally as Mahershala Ali, is an acclaimed American actor and two-time Academy Award winner recognized for his roles in films such as "Moonlight" and "Green Book."
  • E. Muna al-Hussein
    Muna al-Hussein is the British-born former queen consort of Jordan and the mother of King Abdullah II.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Bab an-Nabi Dawud
Triple: [Zion Gate, hasAlternativeName, Bab an-Nabi Dawud]
Generated description
Bab an-Nabi Dawud is a historic gate in the Old City walls of Jerusalem, located near Mount Zion and traditionally associated with the Tomb of King David.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bab an-Nabi Dawud
Target entity description: Bab an-Nabi Dawud is a historic gate in the Old City walls of Jerusalem, located near Mount Zion and traditionally associated with the Tomb of King David.
  • A. Dawud
    Dawud is a prophet and king in Islamic tradition, known for his wisdom, psalms, and just rule.
  • B. Sulaiman
    Sulaiman is a musical artist known for contributing featured vocals to tracks such as "10 Day."
  • C. Shfar'am
    Shfar'am is an ancient, predominantly Arab city in northern Israel known for its historically mixed Muslim, Christian, and Druze population.
  • D. Mahershalalhashbaz Ali
    Mahershalalhashbaz Ali, known professionally as Mahershala Ali, is an acclaimed American actor and two-time Academy Award winner recognized for his roles in films such as "Moonlight" and "Green Book."
  • E. Muna al-Hussein
    Muna al-Hussein is the British-born former queen consort of Jordan and the mother of King Abdullah II.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeda98058819094dd6ab223670860 completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288408f0819090217513e7a21091 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b5294a9b80819083124bc2ff6828aa completed March 14, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69b529f6a3488190a7a9ae37f71cff56 completed March 14, 2026, 9:27 a.m.
Created at: March 9, 2026, 3:23 p.m.