Triple

T24611897
Position Surface form Disambiguated ID Type / Status
Subject Grasberg mine E609139 entity
Predicate hasSmelterAgreementWith P156747 FINISHED
Object PT Smelting Gresik
PT Smelting Gresik is an Indonesian copper smelting and refining company that processes concentrate from major mines such as Grasberg into refined copper and by-products.
 E1641684 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: PT Smelting Gresik | Statement: [Grasberg mine, hasSmelterAgreementWith, PT Smelting Gresik]
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: PT Smelting Gresik
Triple: [Grasberg mine, hasSmelterAgreementWith, PT Smelting Gresik]
Generated description
PT Smelting Gresik is an Indonesian copper smelting and refining company that processes concentrate from major mines such as Grasberg into refined copper and by-products.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasSmelterAgreementWith
Context triple: [Grasberg mine, hasSmelterAgreementWith, PT Smelting Gresik]
  • A. smelterClosed
    Indicates that a smelting facility has ceased operations, either temporarily or permanently.
  • B. receivesIronOreFrom
    Indicates that one entity obtains or is supplied with iron ore from another entity.
  • C. hasSteelMillOrigin
    Indicates that something originates from, is produced in, or is otherwise derived from a steel mill.
  • D. hasOpenPitMine
    Indicates that an entity operates, contains, or is associated with an open-pit mining site.
  • E. hasMiningCommodity
    Indicates that an entity is associated with, produces, or contains a specific mining-related commodity.
  • F. None of above. chosen

Provenance (7 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_69e2c4d1140081909c58667bf68f80c3 completed April 17, 2026, 11:40 p.m.
NER Named-entity recognition batch_69f2be044d4c819094e14eda28d371a7 completed April 30, 2026, 2:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ff891a0e08190bf1feb5e18701543 completed May 22, 2026, 6:32 a.m.
NEDg Description generation batch_6a0ffa82054c8190b4476b3f0ca686be completed May 22, 2026, 6:41 a.m.
NED2 Entity disambiguation (via description) batch_6a0ffaf4f36c8190946cd358a83985d8 completed May 22, 2026, 6:43 a.m.
PD Predicate disambiguation batch_69f2a6ca751c8190a040c10d701ecf3a completed April 30, 2026, 12:48 a.m.
PDg Predicate description generation batch_69f2b8b8bc5881908df49c0b07110246 completed April 30, 2026, 2:04 a.m.
Created at: April 18, 2026, 2:31 a.m.