Triple

T16106778
Position Surface form Disambiguated ID Type / Status
Subject Bushehr Province E390758 entity
Predicate hasCity P316 FINISHED
Object Ahram
Ahram is a city in southern Iran that serves as an urban center within Bushehr Province.
E1194338 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: Ahram | Statement: [Bushehr Province, hasCity, Ahram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ahram
Context triple: [Bushehr Province, hasCity, Ahram]
  • A. Al-Ahram newspaper
    Al-Ahram newspaper is one of Egypt’s oldest and most influential daily newspapers, widely regarded as a leading voice in the Arab media landscape.
  • B. Udjat
    Udjat is an ancient Egyptian symbol of protection, healing, and royal power, commonly depicted as the stylized eye associated with the god Horus.
  • C. Nile Journal
    Nile Journal is a travelogue-style work by American writer and wit Thomas Gold Appleton, recounting his observations and experiences along the Nile River.
  • D. Akhmim
    Akhmim is an ancient city in Upper Egypt, historically known as a significant religious and cultural center with archaeological remains spanning Pharaonic, Greco-Roman, and Coptic periods.
  • E. Beni Hasan
    Beni Hasan is an ancient Egyptian cemetery site in Middle Egypt, renowned for its rock-cut tombs dating mainly to the Middle Kingdom.
  • 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: Ahram
Triple: [Bushehr Province, hasCity, Ahram]
Generated description
Ahram is a city in southern Iran that serves as an urban center within Bushehr Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ahram
Target entity description: Ahram is a city in southern Iran that serves as an urban center within Bushehr Province.
  • A. Al-Ahram newspaper
    Al-Ahram newspaper is one of Egypt’s oldest and most influential daily newspapers, widely regarded as a leading voice in the Arab media landscape.
  • B. Udjat
    Udjat is an ancient Egyptian symbol of protection, healing, and royal power, commonly depicted as the stylized eye associated with the god Horus.
  • C. Nile Journal
    Nile Journal is a travelogue-style work by American writer and wit Thomas Gold Appleton, recounting his observations and experiences along the Nile River.
  • D. Akhmim
    Akhmim is an ancient city in Upper Egypt, historically known as a significant religious and cultural center with archaeological remains spanning Pharaonic, Greco-Roman, and Coptic periods.
  • E. Beni Hasan
    Beni Hasan is an ancient Egyptian cemetery site in Middle Egypt, renowned for its rock-cut tombs dating mainly to the Middle Kingdom.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6d81d081909e1315f4dbfd7369 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba4479c81909f7d43e33f228f7e completed May 10, 2026, 2:21 a.m.
NEDg Description generation batch_69ffecb8c71481908b4913bb078b6415 completed May 10, 2026, 2:26 a.m.
NED2 Entity disambiguation (via description) batch_69ffed469a5c8190932fa4ebc44358c4 completed May 10, 2026, 2:28 a.m.
Created at: April 10, 2026, 5 a.m.