Triple
T2731325
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tobalaba |
E60318
|
entity |
| Predicate | hasDailyUse |
P41936
|
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: [Tobalaba, hasDailyUse, high passenger volume]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDailyUse Context triple: [Tobalaba, hasDailyUse, high passenger volume]
-
A.
hasDailyService
Indicates that a service or operation occurs every day on a regular, scheduled basis.
-
B.
isDayUseOnly
Indicates that the entity may only be used or accessed during daytime hours and not overnight.
-
C.
hasDays
Indicates that an entity is associated with, spans, or occurs on specific days.
-
D.
hasHumanUse
Indicates that something is used, employed, or utilized by humans for a particular purpose or benefit.
-
E.
isUsedAllYear
Indicates that something is utilized or remains in active use throughout the entire year, without being limited to a particular season or period.
- 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_69ab4b75cd908190b691ef0d1801acda |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdaee29088190bc4c734e48995794 |
completed | March 7, 2026, 7:59 a.m. |
| PD | Predicate disambiguation | batch_69abd82586f88190a98f60d3247fe2d3 |
completed | March 7, 2026, 7:47 a.m. |
| PDg | Predicate description generation | batch_69abd949c120819099a9d56eb71a0339 |
completed | March 7, 2026, 7:52 a.m. |
Created at: March 6, 2026, 9:56 p.m.