Triple

T19352844
Position Surface form Disambiguated ID Type / Status
Subject Gorj County E484064 entity
Predicate contains P35 FINISHED
Object Motru
Motru is a town in southwestern Romania known historically for its coal mining industry within the Jiu Valley region.
 E1372019 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: Motru | Statement: [Gorj County, contains, Motru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Motru
Context triple: [Gorj County, contains, Motru]
  • A. Motā
    Motā is a historic town in Ethiopia’s Gojjam region, known for its longstanding role as a local religious and commercial center.
  • B. Muher
    Muher is a Gurage language variety spoken in Ethiopia, known as one of the dialects of the Sebat Bet Gurage cluster within the Ethiosemitic language family.
  • C. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • D. Morvi
    Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
  • E. Dromi
    Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
  • 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: Motru
Triple: [Gorj County, contains, Motru]
Generated description
Motru is a town in southwestern Romania known historically for its coal mining industry within the Jiu Valley region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Motru
Target entity description: Motru is a town in southwestern Romania known historically for its coal mining industry within the Jiu Valley region.
  • A. Motā
    Motā is a historic town in Ethiopia’s Gojjam region, known for its longstanding role as a local religious and commercial center.
  • B. Muher
    Muher is a Gurage language variety spoken in Ethiopia, known as one of the dialects of the Sebat Bet Gurage cluster within the Ethiosemitic language family.
  • C. Mutso
    Mutso is a remote medieval mountain village and fortress complex in northeastern Georgia, renowned for its dramatic clifftop location and stone defensive towers.
  • D. Morvi
    Morvi is a town in the Morbi district of Gujarat, India, historically known as the seat of the former princely Morvi State.
  • E. Dromi
    Dromi is a mythical chain in Norse mythology that was used in an early attempt to bind the monstrous wolf Fenrir.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e61905b16881909ab0e932bb9a0cda completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a072409b48c819081a0e5510e91d636 completed May 15, 2026, 1:47 p.m.
NEDg Description generation batch_6a0725e546488190988000d77c961c0f completed May 15, 2026, 1:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0726a79b308190a584bc808f4b2faa completed May 15, 2026, 1:59 p.m.
Created at: April 10, 2026, 1:34 p.m.