Triple

T32487668
Position Surface form Disambiguated ID Type / Status
Subject National Iranian Gas Company E830286 entity
Predicate usesPipeline P55206 FINISHED
Object Iran–Turkey gas pipeline
The Iran–Turkey gas pipeline is a major international natural gas conduit transporting Iranian gas to Turkey and, indirectly, to European markets.
 E2008604 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: Iran–Turkey gas pipeline | Statement: [National Iranian Gas Company, usesPipeline, Iran–Turkey gas pipeline]
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: Iran–Turkey gas pipeline
Triple: [National Iranian Gas Company, usesPipeline, Iran–Turkey gas pipeline]
Generated description
The Iran–Turkey gas pipeline is a major international natural gas conduit transporting Iranian gas to Turkey and, indirectly, to European markets.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: usesPipeline
Context triple: [National Iranian Gas Company, usesPipeline, Iran–Turkey gas pipeline]
  • A. hasPipeline
    Indicates that one entity possesses, contains, or is associated with a pipeline used to transport or process something.
  • B. crossedByPipeline
    Indicates that a pipeline physically passes across or through the referenced entity or area.
  • C. hasPipes
    Indicates that one entity is equipped with, contains, or is connected to one or more pipes.
  • D. hasPipelineConnection chosen
    Indicates that one entity is linked to another via a pipeline through which materials, fluids, or data can flow.
  • E. pipelineTo
    Indicates that data, output, or results from one process, component, or stage are directed and fed as input into another in a sequential flow.
  • 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_69f34920aa4081908d8fb0277414b911 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f7a225a77c81908f8953ccfeb14336 completed May 3, 2026, 7:29 p.m.
NED1 Entity disambiguation (via context triple) batch_6a3466a63b648190b670e9ddcc10636e completed June 18, 2026, 9:44 p.m.
NEDg Description generation batch_6a34679f07b4819082bf24c37fe81e70 completed June 18, 2026, 9:48 p.m.
NED2 Entity disambiguation (via description) batch_6a34683ee9b48190b7e9698ee6c732dc completed June 18, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69f7a06d4f108190bae3ab9ae431d2c7 completed May 3, 2026, 7:22 p.m.
Created at: May 1, 2026, 12:58 a.m.