Triple

T6221078
Position Surface form Disambiguated ID Type / Status
Subject Ghor Province E139113 entity
Predicate hasSettlement P1068 FINISHED
Object Tulak
Tulak is a town in Afghanistan that serves as a local settlement within Ghor Province.
E578767 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: Tulak | Statement: [Ghor Province, hasSettlement, Tulak]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulak
Context triple: [Ghor Province, hasSettlement, Tulak]
  • A. Tulunan
    Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
  • B. Tawu
    Tawu is the indigenous name used by the Tao people, an Austronesian ethnic group native to Orchid Island in Taiwan.
  • C. Tadukhipa
    Tadukhipa was a Mitanni princess who became a queen of Egypt during the 18th Dynasty, likely as a wife of Amenhotep III and later associated with his successor Akhenaten.
  • D. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • E. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • 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: Tulak
Triple: [Ghor Province, hasSettlement, Tulak]
Generated description
Tulak is a town in Afghanistan that serves as a local settlement within Ghor Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tulak
Target entity description: Tulak is a town in Afghanistan that serves as a local settlement within Ghor Province.
  • A. Tulunan
    Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
  • B. Tawu
    Tawu is the indigenous name used by the Tao people, an Austronesian ethnic group native to Orchid Island in Taiwan.
  • C. Tadukhipa
    Tadukhipa was a Mitanni princess who became a queen of Egypt during the 18th Dynasty, likely as a wife of Amenhotep III and later associated with his successor Akhenaten.
  • D. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • E. Tajewala
    Tajewala is a village in the Yamunanagar district of Haryana, India, historically known for the Tajewala Barrage on the Yamuna River, which was later replaced by the nearby Hathni Kund Barrage.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062bcc2348190806ed8c98bdfbf3e completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20dc349b481909ce369a82fa96412 completed March 24, 2026, 4:06 a.m.
NEDg Description generation batch_69c214980bbc8190b188b3c821ea13ea completed March 24, 2026, 4:35 a.m.
NED2 Entity disambiguation (via description) batch_69c2157d43048190a0376cdc9024c5f9 completed March 24, 2026, 4:39 a.m.
Created at: March 22, 2026, 4:22 p.m.