Triple

T4255136
Position Surface form Disambiguated ID Type / Status
Subject Qinghai E95954 entity
Predicate hasMajorCity P316 FINISHED
Object Delingha
Delingha is a county-level city in northwestern China that serves as an important administrative and transportation hub in Qinghai Province.
 E426955 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: Delingha | Statement: [Qinghai, hasMajorCity, Delingha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Delingha
Context triple: [Qinghai, hasMajorCity, Delingha]
  • A. Khaltahi
    Khaltahi is a regional dialect of the Chhattisgarhi language spoken in parts of central India.
  • B. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Dhala
    Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
  • D. Lagodekhi
    Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
  • E. Halisahar
    Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
  • 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: Delingha
Triple: [Qinghai, hasMajorCity, Delingha]
Generated description
Delingha is a county-level city in northwestern China that serves as an important administrative and transportation hub in Qinghai Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Delingha
Target entity description: Delingha is a county-level city in northwestern China that serves as an important administrative and transportation hub in Qinghai Province.
  • A. Khaltahi
    Khaltahi is a regional dialect of the Chhattisgarhi language spoken in parts of central India.
  • B. Kadamtala
    Kadamtala is a small settlement located on Middle Andaman Island in the Andaman and Nicobar Islands of India.
  • C. Dhala
    Dhala is a town and district in southwestern Yemen, historically part of the British-era protectorate structures that later formed the Federation of South Arabia.
  • D. Lagodekhi
    Lagodekhi is a town in eastern Georgia known as a regional center near the Azerbaijani border and as the gateway to the Lagodekhi Protected Areas in the Kakheti region.
  • E. Halisahar
    Halisahar is a town in the North 24 Parganas district of the Indian state of West Bengal, situated along the Hooghly River and forming part of the Kolkata metropolitan area.
  • 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_69b3453f759881909b91f01a1e82c036 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec036e8819087d8585170707545 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5b78422a88190a67921ee38638ac8 completed March 14, 2026, 7:31 p.m.
NEDg Description generation batch_69b5bb4d7b8c8190910525c855c83b83 completed March 14, 2026, 7:47 p.m.
NED2 Entity disambiguation (via description) batch_69b5bbba644881908f2f3be9dda7042b completed March 14, 2026, 7:49 p.m.
Created at: March 12, 2026, 11:06 p.m.