Triple
T37764816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keihan Electric Railway network |
E941383
|
entity |
| Predicate | notableDestinationServed |
P35273
|
FINISHED |
| Object | Kyoto Gion area |
E83963
|
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: Kyoto Gion area | Statement: [Keihan Electric Railway network, notableDestinationServed, Kyoto Gion area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableDestinationServed Context triple: [Keihan Electric Railway network, notableDestinationServed, Kyoto Gion area]
-
A.
notableDestination
chosen
Indicates that a location is recognized as a significant or prominent place that people commonly travel to or aim to visit.
-
B.
notableDestinationType
Indicates the general category or type of destination for which something is considered notable.
-
C.
notableTerminusCity
Indicates that a city is notably recognized as a terminus (endpoint) of a route, line, or network.
-
D.
notableCityIncluded
Indicates that a notable or significant city is contained within, or is part of, a larger geographic or administrative entity.
-
E.
isInhabitedPlaceServedBy
Indicates that a particular inhabited place is provided with services or coverage by a specified service entity (such as a facility, route, or organization).
- F. None of above.
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_69f76ee3251881909bb4451aad50752b |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40f17afeec81908309e8019fe480c3 |
completed | June 28, 2026, 10:03 a.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.