Triple
T38214502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hankyu 9300 series |
E1010646
|
entity |
| Predicate | operatorSection |
P204253
|
FINISHED |
| Object | Hankyu Kyoto Main Line |
E51747
|
NE 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: Hankyu Kyoto Main Line | Statement: [Hankyu 9300 series, operatorSection, Hankyu Kyoto Main Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatorSection Context triple: [Hankyu 9300 series, operatorSection, Hankyu Kyoto Main Line]
-
A.
operator
Indicates that one entity functions as the operator (controller or handler) of another entity, such as a system, device, or process.
-
B.
operationalSection
Indicates that a section or segment of a larger system, structure, or process is currently active and functioning as intended.
-
C.
operationOf
Indicates that one entity is the function, activity, or process carried out by another entity (such as a system, device, or organization).
-
D.
operatorBase
Indicates that one entity serves as the primary or foundational operator for another entity or operation.
-
E.
operatorSymbol
Indicates the symbolic notation used to represent an operator in an expression or formal system.
- F. None of above. chosen
Provenance (5 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a0357f9670081908a7ba1cd46a0b46a |
completed | May 12, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a464f1c36288190a0d6373f6b3bff4a |
completed | July 2, 2026, 11:44 a.m. |
| PD | Predicate disambiguation | batch_6a03575e3258819093303248d1569f95 |
completed | May 12, 2026, 4:37 p.m. |
| PDg | Predicate description generation | batch_6a0357f8aa988190bc30088e509e317d |
completed | May 12, 2026, 4:40 p.m. |
Created at: May 3, 2026, 4:30 p.m.