Triple

T30534351
Position Surface form Disambiguated ID Type / Status
Subject Golconda diamonds E777097 entity
Predicate historicallyTradedThrough P58558 FINISHED
Object Golconda fort market
Golconda fort market was a historic trading hub in Hyderabad, India, renowned as a major center for the global diamond trade.
E1919288 NE FINISHED

How this triple was built (3 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: Golconda fort market | Statement: [Golconda diamonds, historicallyTradedThrough, Golconda fort market]
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: Golconda fort market
Triple: [Golconda diamonds, historicallyTradedThrough, Golconda fort market]
Generated description
Golconda fort market was a historic trading hub in Hyderabad, India, renowned as a major center for the global diamond trade.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: historicallyTradedThrough
Context triple: [Golconda diamonds, historicallyTradedThrough, Golconda fort market]
  • A. tradedSince
    Indicates that an entity has been actively traded starting from a specified point in time and continuing thereafter.
  • B. tradedUsing
    Indicates that an exchange or trade was conducted by means of a specified instrument, medium, or mechanism.
  • C. tradedTo
    Indicates that ownership or contractual rights to an entity (such as a player, asset, or item) were transferred from one party to another, typically as part of an exchange or deal.
  • D. tradeItemsHistorically chosen
    Indicates that the entities have engaged in trading items with each other at some point in the past.
  • E. isTradedBy
    Indicates that an item, asset, or resource is exchanged or dealt with by a particular agent, party, or trading entity.
  • F. None of above.

Provenance (6 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_69f2249c11508190ae7e955755ccfb01 completed April 29, 2026, 3:32 p.m.
NER Named-entity recognition batch_69fefa064ab48190925759950d0d94d9 completed May 9, 2026, 9:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a27be81f03c8190874293df30769b4e completed June 9, 2026, 7:19 a.m.
NEDg Description generation batch_6a27c0a62c508190b40eca87b6bef1a2 completed June 9, 2026, 7:28 a.m.
NED2 Entity disambiguation (via description) batch_6a27c10324348190a44216514590a529 completed June 9, 2026, 7:30 a.m.
PD Predicate disambiguation batch_69fef96ae5d08190b027435753c44821 completed May 9, 2026, 9:07 a.m.
Created at: April 29, 2026, 8:18 p.m.