Triple
T16873851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huoying station |
E421245
|
entity |
| Predicate | hasStationCodeLine8 |
P94685
|
FINISHED |
| Object | L8-HY |
—
|
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: L8-HY | Statement: [Huoying station, hasStationCodeLine8, L8-HY]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStationCodeLine8 Context triple: [Huoying station, hasStationCodeLine8, L8-HY]
-
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.
hasStationCodeInternal
chosen
Indicates that an entity is associated with a specific internal station code used within a system or organization.
-
D.
hasStationAt
Indicates that an entity maintains or operates a station located at a specified place.
-
E.
hasRailwayLineNumber
Indicates the specific identification number assigned to a railway line associated with an entity.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f40410819088db22fa0d1eb808 |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:29 a.m.