Triple

T3434245
Position Surface form Disambiguated ID Type / Status
Subject Golconda Fort E72409 entity
Predicate formerName P65 FINISHED
Object Mankal
Mankal was the original settlement that later developed into the historic Golconda Fort area near Hyderabad in India.
E357490 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: Mankal | Statement: [Golconda Fort, formerName, Mankal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mankal
Context triple: [Golconda Fort, formerName, Mankal]
  • A. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • B. Trichinopoly
    Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
  • C. Values of the Game
    Values of the Game is a reflective book by former U.S. senator and NBA player Bill Bradley that uses basketball stories to explore character, ethics, and life lessons.
  • D. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • E. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • 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: Mankal
Triple: [Golconda Fort, formerName, Mankal]
Generated description
Mankal was the original settlement that later developed into the historic Golconda Fort area near Hyderabad in India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mankal
Target entity description: Mankal was the original settlement that later developed into the historic Golconda Fort area near Hyderabad in India.
  • A. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • B. Trichinopoly
    Trichinopoly, now commonly known as Tiruchirappalli, is a historic city in Tamil Nadu, India, renowned for its ancient temples and strategic location on the banks of the Kaveri River.
  • C. Values of the Game
    Values of the Game is a reflective book by former U.S. senator and NBA player Bill Bradley that uses basketball stories to explore character, ethics, and life lessons.
  • D. UNO
    UNO is a public research university located in Omaha, Nebraska, known for its urban campus and strong community engagement.
  • E. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb9c1d9148190b873ba66d34d4f01 completed March 8, 2026, 6:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3547fd15481909c310b731231d5bb completed March 13, 2026, 12:04 a.m.
NEDg Description generation batch_69b3588a03c08190aaed9a22837f2c0d completed March 13, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69b358e305548190b861e5ecbb59fa56 completed March 13, 2026, 12:22 a.m.
Created at: March 8, 2026, 3:16 p.m.