Triple

T22734550
Position Surface form Disambiguated ID Type / Status
Subject Oruzgan E562228 entity
Predicate hasCity P316 FINISHED
Object Deh Rawud
Deh Rawud is a town and district center in Uruzgan Province in central Afghanistan, known for its strategic location in a mountainous, conflict-affected region.
E1552310 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: Deh Rawud | Statement: [Oruzgan, hasCity, Deh Rawud]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deh Rawud
Context triple: [Oruzgan, hasCity, Deh Rawud]
  • A. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • B. Rudsar
    Rudsar is a coastal city in northern Iran known for its lush landscapes, rice paddies, and proximity to the Caspian Sea.
  • C. Derabish
    Derabish is a town and administrative block in the Kendrapara district of the Indian state of Odisha.
  • D. Yaghma
    Yaghma was a Turkic tribal clan that rose to prominence as the ruling dynasty of the Kara-Khanid Khanate in Central Asia.
  • E. Dogara
    Dogara is the surname of Yakubu Dogara, a prominent Nigerian politician and former Speaker of the House of Representatives.
  • 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: Deh Rawud
Triple: [Oruzgan, hasCity, Deh Rawud]
Generated description
Deh Rawud is a town and district center in Uruzgan Province in central Afghanistan, known for its strategic location in a mountainous, conflict-affected region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Deh Rawud
Target entity description: Deh Rawud is a town and district center in Uruzgan Province in central Afghanistan, known for its strategic location in a mountainous, conflict-affected region.
  • A. Rutba
    Rutba is a remote desert town in western Iraq that serves as a key transit point on the highway linking Baghdad with Jordan and Syria.
  • B. Rudsar
    Rudsar is a coastal city in northern Iran known for its lush landscapes, rice paddies, and proximity to the Caspian Sea.
  • C. Derabish
    Derabish is a town and administrative block in the Kendrapara district of the Indian state of Odisha.
  • D. Yaghma
    Yaghma was a Turkic tribal clan that rose to prominence as the ruling dynasty of the Kara-Khanid Khanate in Central Asia.
  • E. Dogara
    Dogara is the surname of Yakubu Dogara, a prominent Nigerian politician and former Speaker of the House of Representatives.
  • 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_69e24550859c81908727d91efc3a81b4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f1796f030881908e141564d442bd1b completed April 29, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b8fcc0f7881908e1579bae911c3b6 completed May 18, 2026, 10:16 p.m.
NEDg Description generation batch_6a0b91253b5c8190b7fc62f7524017e6 completed May 18, 2026, 10:22 p.m.
NED2 Entity disambiguation (via description) batch_6a0b91cbb52481909d0b092475aa4d36 completed May 18, 2026, 10:25 p.m.
Created at: April 17, 2026, 3:22 p.m.