Triple

T11189283
Position Surface form Disambiguated ID Type / Status
Subject Lahore Fort E264753 entity
Predicate hasPart P35 FINISHED
Object Athdara
Athdara is an architectural section or pavilion within the historic Lahore Fort complex in Lahore, Pakistan.
 E910667 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: Athdara | Statement: [Lahore Fort, hasPart, Athdara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Athdara
Context triple: [Lahore Fort, hasPart, Athdara]
  • A. Aidhne
    Aidhne is a historic region in south County Galway, Ireland, traditionally associated with the early medieval kingdom of the Uí Fiachrach Aidhne.
  • B. Ailech
    Ailech was an important early medieval Irish kingdom and power base in the northwest, historically associated with the northern branch of the Uí Néill dynasty.
  • C. Aithra
    Aithra is a figure from Greek mythology, often known as the mother of the hero Theseus and associated with the royal lineage of Troezen.
  • D. Aegan
    Aegan is a 2008 Tamil action-comedy film starring Ajith Kumar, loosely inspired by the Bollywood movie Main Hoon Na.
  • E. Auscitainne
    Auscitainne is the French demonym for an inhabitant or native of the city of Auch, in southwestern France.
  • 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: Athdara
Triple: [Lahore Fort, hasPart, Athdara]
Generated description
Athdara is an architectural section or pavilion within the historic Lahore Fort complex in Lahore, Pakistan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Athdara
Target entity description: Athdara is an architectural section or pavilion within the historic Lahore Fort complex in Lahore, Pakistan.
  • A. Aidhne
    Aidhne is a historic region in south County Galway, Ireland, traditionally associated with the early medieval kingdom of the Uí Fiachrach Aidhne.
  • B. Ailech
    Ailech was an important early medieval Irish kingdom and power base in the northwest, historically associated with the northern branch of the Uí Néill dynasty.
  • C. Aithra
    Aithra is a figure from Greek mythology, often known as the mother of the hero Theseus and associated with the royal lineage of Troezen.
  • D. Aegan
    Aegan is a 2008 Tamil action-comedy film starring Ajith Kumar, loosely inspired by the Bollywood movie Main Hoon Na.
  • E. Auscitainne
    Auscitainne is the French demonym for an inhabitant or native of the city of Auch, in southwestern France.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8ad143481908d5dacc95837ecfd completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483df3c74819090fc6ef26f785539 completed April 19, 2026, 7:27 a.m.
NEDg Description generation batch_69e48788be688190a109ccb8281d3dc9 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890c12388190838d350207492c9e completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:29 p.m.