Triple

T2220615
Position Surface form Disambiguated ID Type / Status
Subject Bethlehem Governorate E48131 entity
Predicate contains P35 FINISHED
Object Tuquʼ
Tuquʼ is a Palestinian town located southeast of Bethlehem in the central West Bank.
 E245969 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: Tuquʼ | Statement: [Bethlehem Governorate, contains, Tuquʼ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tuquʼ
Context triple: [Bethlehem Governorate, contains, Tuquʼ]
  • A. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • B. Tadlac
    Tadlac is a barangay in the municipality of Los Baños in Laguna province, Philippines, known for its proximity to Tadlac Lake (also called Alligator Lake).
  • C. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
  • D. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • E. Tamahaq
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • 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: Tuquʼ
Triple: [Bethlehem Governorate, contains, Tuquʼ]
Generated description
Tuquʼ is a Palestinian town located southeast of Bethlehem in the central West Bank.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tuquʼ
Target entity description: Tuquʼ is a Palestinian town located southeast of Bethlehem in the central West Bank.
  • A. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • B. Tadlac
    Tadlac is a barangay in the municipality of Los Baños in Laguna province, Philippines, known for its proximity to Tadlac Lake (also called Alligator Lake).
  • C. Ráquira
    Ráquira is a Colombian town renowned for its traditional pottery, colorful handicrafts, and vibrant colonial architecture.
  • D. Moura
    Moura is a historic town in Portugal’s Alentejo region, known for its whitewashed architecture, olive oil production, and proximity to the Alqueva reservoir.
  • E. Tamahaq
    Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
  • 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_69a88aa1ee708190862c8c378c41e9eb completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abc0156c8c819083e3e3b6ede1e951 completed March 7, 2026, 6:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae655df21c8190aa9624f15955c565 completed March 9, 2026, 6:14 a.m.
NEDg Description generation batch_69ae667dede88190b3d1f8bb8866e19e completed March 9, 2026, 6:19 a.m.
NED2 Entity disambiguation (via description) batch_69ae66f12c648190a146de7b2bfdb541 completed March 9, 2026, 6:21 a.m.
Created at: March 4, 2026, 7:46 p.m.