Triple
T30563450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halmstad Central Station |
E777907
|
entity |
| Predicate | hasLongDistanceImportance |
P193194
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Halmstad Central Station, hasLongDistanceImportance, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLongDistanceImportance Context triple: [Halmstad Central Station, hasLongDistanceImportance, yes]
-
A.
localImportance
Indicates that something holds particular significance, influence, or priority within a specific, limited context or area rather than globally.
-
B.
hasInternationalImportance
Indicates that something holds significant relevance or impact beyond national boundaries, affecting or concerning multiple countries or the international community.
-
C.
peakImportance
Indicates that something reaches or represents the highest level of importance within a given context or timeframe.
-
D.
hasLongerReachThan
Indicates that one entity can extend, influence, or physically reach farther than another entity.
-
E.
resultImportance
Indicates that one entity specifies how significant, critical, or impactful the outcome or result of another entity is.
- 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_69f2249ed41c8190b175170ecfd6e1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd3a69f1e08190a11aed015bff0858 |
completed | May 8, 2026, 1:20 a.m. |
| PD | Predicate disambiguation | batch_69fd39124180819080ca7911d3515d6d |
completed | May 8, 2026, 1:14 a.m. |
| PDg | Predicate description generation | batch_69fd3a6905b88190ae12b43576f4cc63 |
completed | May 8, 2026, 1:20 a.m. |
Created at: April 29, 2026, 8:21 p.m.