Triple

T15837581
Position Surface form Disambiguated ID Type / Status
Subject Tukultī-apil-Ešarra III E384022 entity
Predicate spouse P13 FINISHED
Object Yabâ
Yabâ was an Assyrian queen consort of the 8th century BCE, known primarily as the wife of King Tiglath-Pileser III.
E1179609 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: Yabâ | Statement: [Tukultī-apil-Ešarra III, spouse, Yabâ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yabâ
Context triple: [Tukultī-apil-Ešarra III, spouse, Yabâ]
  • A. Yabun
    Yabun is a major annual Aboriginal and Torres Strait Islander cultural festival held in Sydney, celebrating Indigenous music, dance, and community.
  • B. Yanun
    Yanun is a small Palestinian village in the northern West Bank known for its rural setting and proximity to Israeli settlements.
  • C. Bawi
    Bawi was a Sasanian Persian military commander known for leading forces against the Byzantine Empire during the Iberian War in the 6th century.
  • D. Yarbay
    Yarbay is a mid-level field officer rank in the Turkish Armed Forces, equivalent to a lieutenant colonel in many other military organizations.
  • E. Yazgulem River
    The Yazgulem River is a significant mountain river in the Pamir region of Tajikistan, known for draining remote high-altitude valleys before joining the Panj River.
  • 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: Yabâ
Triple: [Tukultī-apil-Ešarra III, spouse, Yabâ]
Generated description
Yabâ was an Assyrian queen consort of the 8th century BCE, known primarily as the wife of King Tiglath-Pileser III.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yabâ
Target entity description: Yabâ was an Assyrian queen consort of the 8th century BCE, known primarily as the wife of King Tiglath-Pileser III.
  • A. Yabun
    Yabun is a major annual Aboriginal and Torres Strait Islander cultural festival held in Sydney, celebrating Indigenous music, dance, and community.
  • B. Yanun
    Yanun is a small Palestinian village in the northern West Bank known for its rural setting and proximity to Israeli settlements.
  • C. Bawi
    Bawi was a Sasanian Persian military commander known for leading forces against the Byzantine Empire during the Iberian War in the 6th century.
  • D. Yarbay
    Yarbay is a mid-level field officer rank in the Turkish Armed Forces, equivalent to a lieutenant colonel in many other military organizations.
  • E. Yazgulem River
    The Yazgulem River is a significant mountain river in the Pamir region of Tajikistan, known for draining remote high-altitude valleys before joining the Panj River.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e3d48c8190ad0d0af89d062101 completed April 16, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa13a83448190adcad8bb84622e55 completed May 9, 2026, 9:03 p.m.
NEDg Description generation batch_69ffa419c6dc81908c9678f8434530f8 completed May 9, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_69ffa4cff5088190a7f11fd62941f4fb completed May 9, 2026, 9:19 p.m.
Created at: April 10, 2026, 4:49 a.m.