Triple
T33958223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraqi national transport network |
E870638
|
entity |
| Predicate | railBackbone |
P154463
|
FINISHED |
| Object | Baghdad–Basra railway line |
—
|
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: Baghdad–Basra railway line | Statement: [Iraqi national transport network, railBackbone, Baghdad–Basra railway line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: railBackbone Context triple: [Iraqi national transport network, railBackbone, Baghdad–Basra railway line]
-
A.
railwayBackbone
chosen
Indicates that something serves as the main structural or primary supporting rail line within a railway network.
-
B.
rackRailUse
Indicates that a rail line or segment is equipped with and operates using a rack (cog) rail system for traction or braking.
-
C.
railHead
Indicates a relationship where one location serves as the terminus or primary endpoint of a railway line for another location or transport link.
-
D.
railForm
Indicates that one entity takes the form of, or is structured as, a rail or rail-like configuration in relation to another entity.
-
E.
railOptions
Indicates the available rail-related choices or configurations that can be selected or applied in a given context.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f7064e906881909c3186c646145d34 |
completed | May 3, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69f70100ec1c8190a6b97f50e88891f2 |
completed | May 3, 2026, 8:02 a.m. |
Created at: May 1, 2026, 1:49 a.m.