Triple
T10169888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keisei Skyliner |
E235302
|
entity |
| Predicate | currentServicePatternIntroduced |
P92210
|
FINISHED |
| Object | 2010 |
—
|
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: 2010 | Statement: [Keisei Skyliner, currentServicePatternIntroduced, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentServicePatternIntroduced Context triple: [Keisei Skyliner, currentServicePatternIntroduced, 2010]
-
A.
introducedForServiceWith
Indicates that one entity was presented or brought to the attention of another entity specifically for the purpose of providing a service.
-
B.
servicePatternType
Indicates the type or category of service pattern that characterizes how a service is structured, scheduled, or delivered.
-
C.
serviceIntroduced
Indicates that a particular service has been launched, made available, or brought into operation at a certain time or context.
-
D.
primaryServicePattern
Indicates the main or most typical way in which a service is delivered, structured, or utilized within a given context.
-
E.
formerServicePattern
Indicates that an entity previously provided a particular service or operated under a specific service pattern, but no longer does so.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9ba56481908b5265aea8ea8cbe |
completed | April 2, 2026, 4:12 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
| PDg | Predicate description generation | batch_69cd4fed19d481909d2c7ff1114664b6 |
completed | April 1, 2026, 5:03 p.m. |
Created at: March 30, 2026, 9:10 p.m.