Triple
T38346085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Türkmendemirýollary |
E1041543
|
entity |
| Predicate | hasTrackOwnership |
P202247
|
FINISHED |
| Object | majority of railway tracks in Turkmenistan |
—
|
LITERAL FINISHED |
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: majority of railway tracks in Turkmenistan | Statement: [Türkmendemirýollary, hasTrackOwnership, majority of railway tracks in Turkmenistan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrackOwnership Context triple: [Türkmendemirýollary, hasTrackOwnership, majority of railway tracks in Turkmenistan]
-
A.
ownerOfSomeTrack
Indicates that an entity has ownership of at least one track (such as a song, audio track, or similar item).
-
B.
usesTrackOwnedBy
Indicates that an entity makes use of a track (e.g., route, path, or rail line) that is owned by another specified entity.
-
C.
hasTrack
Indicates that one entity possesses, includes, or is associated with a specific track (such as a path, course, or recorded item).
-
D.
hasTrackageRightsOn
Indicates that one rail operator is authorized to run its trains over track owned or controlled by another entity.
-
E.
trackOwnershipOutcome
Indicates the result or status of an ownership-tracking process or event between entities.
- F. None of above. chosen
Provenance (4 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_69f76e2ad95481908c920c0e5c1c3e26 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a0064f8efa48190956287f548a8057d |
completed | May 10, 2026, 10:59 a.m. |
| PD | Predicate disambiguation | batch_6a006471e75c8190adae99bd75e7411b |
completed | May 10, 2026, 10:56 a.m. |
| PDg | Predicate description generation | batch_6a0064f8496081908ac3bb4c53ed08aa |
completed | May 10, 2026, 10:59 a.m. |
Created at: May 3, 2026, 4:30 p.m.