Triple

T8096676
Position Surface form Disambiguated ID Type / Status
Subject Alborz Province E189002 entity
Predicate containsCity P294 FINISHED
Object Fardis
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
E709070 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: Fardis | Statement: [Alborz Province, containsCity, Fardis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fardis
Context triple: [Alborz Province, containsCity, Fardis]
  • A. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • B. Nawbahar
    Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
  • C. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • D. Khalafawy
    Khalafawy is a metro station on Cairo's Line 2 serving the Shubra district in northern Cairo.
  • E. An-Najm
    An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
  • 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: Fardis
Triple: [Alborz Province, containsCity, Fardis]
Generated description
Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fardis
Target entity description: Fardis is a city in Iran that serves as an urban center within the country's Alborz Province.
  • A. Dhulandi
    Dhulandi is the vibrant second day of the Holi festival in India, celebrated with the playful throwing of colored powders and water.
  • B. Nawbahar
    Nawbahar was the mother of Mahmud of Ghazni, the prominent 11th-century sultan who founded the Ghaznavid Empire in present-day Afghanistan and northern India.
  • C. Rawdah
    Rawdah is the revered area between the Prophet Muhammad’s tomb and his pulpit in Al-Masjid an-Nabawi in Medina, considered one of the holiest sites in Islam.
  • D. Khalafawy
    Khalafawy is a metro station on Cairo's Line 2 serving the Shubra district in northern Cairo.
  • E. An-Najm
    An-Najm is the 53rd chapter of the Qur’an, known for its powerful verses affirming the Prophet Muhammad’s divine revelation and warning against idolatry.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb429319048190b612c8060a9a24d2 completed March 31, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc6414ca048190ac0e644b2c399bfb completed April 1, 2026, 12:17 a.m.
NEDg Description generation batch_69cc651eecf481909bf0ea90001c83f3 completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc664d69a08190b92e34a0e1de48a7 completed April 1, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:30 p.m.