Triple
T13406903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nambour railway station |
E319982
|
entity |
| Predicate | goCardZone |
P109790
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Nambour railway station, goCardZone, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goCardZone Context triple: [Nambour railway station, goCardZone, 5]
-
A.
cardGameAssociatedWith
Indicates that there is a relationship of association between a card game and another entity, such as a person, place, event, or concept.
-
B.
legalCardsFrom
Indicates that the referenced cards are permitted or valid according to the rules or constraints defined by the specified source or authority.
-
C.
cardPackAvailableIn
Indicates that a particular card pack can be obtained, accessed, or used within a specified context, location, or platform.
-
D.
cardColor
Indicates the color attribute assigned to a card in the relationship.
-
E.
deckNumber
Indicates the specific deck or floor level associated with an entity within a multi-level structure or vehicle.
- 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae4be498819094798473a1bfd853 |
completed | April 12, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69d9a0355de48190bb3fb96912e20df3 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadcce5a808190847f2a7833b67a5a |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:35 p.m.