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 |
—
|
NE NERFINISHED |
How this triple was built (2 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]
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 (3 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. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: May 1, 2026, 12:58 a.m.