Triple

T10380757
Position Surface form Disambiguated ID Type / Status
Subject Hamedan Province E244633 entity
Predicate hasCity P316 FINISHED
Object Razan
Razan is a city in Iran located within Hamedan Province, known for its agricultural surroundings and local trade.
 E859459 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: Razan | Statement: [Hamedan Province, hasCity, Razan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Razan
Context triple: [Hamedan Province, hasCity, Razan]
  • A. Raghad
    Raghad is the first name of Raghad Hussein, the eldest daughter of former Iraqi president Saddam Hussein.
  • B. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • C. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • D. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • E. المروة
    المروة هو اسم علم عربي يُستخدم غالبًا للإناث ويُستمد من اسم أحد الجبلين في شعائر السعي بين الصفا والمروة في مكة.
  • 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: Razan
Triple: [Hamedan Province, hasCity, Razan]
Generated description
Razan is a city in Iran located within Hamedan Province, known for its agricultural surroundings and local trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Razan
Target entity description: Razan is a city in Iran located within Hamedan Province, known for its agricultural surroundings and local trade.
  • A. Raghad
    Raghad is the first name of Raghad Hussein, the eldest daughter of former Iraqi president Saddam Hussein.
  • B. Fahdah
    Fahdah is a Saudi princess, formally known as Princess Fahdah Mohammed Abunayyan, associated with the Saudi royal family.
  • C. Juwayriya
    Juwayriya was a wife of the Prophet Muhammad and is regarded as one of the Mothers of the Believers in Islamic tradition.
  • D. Sharifa
    Sharifa is an honorific title used in Islamic tradition for a noblewoman descended from the Prophet Muhammad.
  • E. المروة
    المروة هو اسم علم عربي يُستخدم غالبًا للإناث ويُستمد من اسم أحد الجبلين في شعائر السعي بين الصفا والمروة في مكة.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9921fa48190a874aa9a9e385b97 completed April 7, 2026, 11:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7958803e88190a7bbeda4f2c6f32c completed April 9, 2026, 12:03 p.m.
NEDg Description generation batch_69d79784baa481909e57adda27578cc2 completed April 9, 2026, 12:11 p.m.
NED2 Entity disambiguation (via description) batch_69d7989f8dfc8190b1fe4429f7bb0283 completed April 9, 2026, 12:16 p.m.
Created at: April 6, 2026, 12:03 p.m.