Triple
T31876827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Level station |
E813765
|
entity |
| Predicate | hasStationCodeOfComplex |
P198290
|
FINISHED |
| Object | GLQ |
—
|
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: GLQ | Statement: [High Level station, hasStationCodeOfComplex, GLQ]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationCodeOfComplex Context triple: [High Level station, hasStationCodeOfComplex, GLQ]
-
A.
hasStationCode
Indicates that an entity is associated with a specific station identification code.
-
B.
hasStationCodeSystem
Indicates that an entity uses or is associated with a particular system for assigning or managing station codes.
-
C.
hasStationCodeRole
Indicates that an entity holds or is assigned a specific role associated with a station code within a system or context.
-
D.
hasStationCodeInternal
Indicates that an entity is associated with a specific internal station code used within a system or organization.
-
E.
codeForStationIn
Indicates that a specific code is assigned to or used to identify a station within a particular system, network, or context.
- 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_69f348ed74bc81909846aaa6a3c7318c |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fed83b1d188190a318b0ad3003200a |
completed | May 9, 2026, 6:46 a.m. |
| PD | Predicate disambiguation | batch_69fed78e03548190b6e6ad93ae8d131d |
completed | May 9, 2026, 6:43 a.m. |
| PDg | Predicate description generation | batch_69fed83a3b8c819092a3bd1ca9d9b38b |
completed | May 9, 2026, 6:46 a.m. |
Created at: April 30, 2026, 11:55 p.m.