Triple
T25997839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M1 line |
E646533
|
entity |
| Predicate | M1A branchTerminus |
P159649
|
FINISHED |
| Object | Atatürk Airport station |
—
|
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: Atatürk Airport station | Statement: [M1 line, M1A branchTerminus, Atatürk Airport station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: M1A branchTerminus Context triple: [M1 line, M1A branchTerminus, Atatürk Airport station]
-
A.
muzzleType
Indicates the specific style or configuration of a muzzle associated with an entity, such as a weapon or animal.
-
B.
isServiceRifleOf
Indicates that one entity is the designated service rifle used by another entity, typically a military or armed force.
-
C.
militaryBranchAssociatedWith
Indicates a relationship where an entity is connected to, or operates as part of, a specific branch of a military organization.
-
D.
militaryBranchAbbreviation
Indicates the standard shortened form or acronym used to represent a specific branch of a military organization.
-
E.
isPartOfBranchTypically
Indicates that something is typically a component or subdivision within a larger branch.
- 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f6057012248190a486e723fdd2107e |
completed | May 2, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69f4a10728e08190bc0b96c558740f51 |
completed | May 1, 2026, 12:48 p.m. |
| PDg | Predicate description generation | batch_69f55e497fa081909bc59a7b92c5df59 |
completed | May 2, 2026, 2:15 a.m. |
Created at: April 22, 2026, 8:58 a.m.