Triple
T12235624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Musashi-Urawa Station |
E291582
|
entity |
| Predicate | hasDailyUsageType |
P99819
|
FINISHED |
| Object | high passenger volume |
—
|
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: high passenger volume | Statement: [Musashi-Urawa Station, hasDailyUsageType, high passenger volume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDailyUsageType Context triple: [Musashi-Urawa Station, hasDailyUsageType, high passenger volume]
-
A.
hasDailyUse
Indicates that something is used or occurs on a daily, regular basis.
-
B.
hasDailyTraffic
chosen
Indicates that an entity experiences or is associated with a certain amount or pattern of traffic on a daily basis.
-
C.
hasDailyService
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
D.
hasHistoricalUsageIn
Indicates that something has been used or practiced within a particular historical period, context, or tradition.
-
E.
hasDailyEvent
Indicates that an entity is associated with an event that occurs every day.
- 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_69d6ab668acc8190963ba424049d6aee |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d924a3973c8190a882046963b320fb |
completed | April 10, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69d91c41bcbc81909782f4e3c571b218 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:51 p.m.