Triple
T515279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dam Square |
E10692
|
entity |
| Predicate | hasPublicTransportStop |
P15438
|
FINISHED |
| Object | Dam tram stop |
—
|
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: Dam tram stop | Statement: [Dam Square, hasPublicTransportStop, Dam tram stop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPublicTransportStop Context triple: [Dam Square, hasPublicTransportStop, Dam tram stop]
-
A.
hasPublicTransportConnection
Indicates that there is an available public transportation link or service connecting the related entities.
-
B.
hasBusStation
Indicates that a place or area contains or is served by a bus station.
-
C.
hasAdjacentBusStation
Indicates that one location has a bus station situated directly next to or very near it.
-
D.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
E.
hasBusInterchange
Indicates that one transport-related entity includes, contains, or is associated with a bus interchange facility.
- 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_69a2e84a0d08819087e01863fcd9abf1 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f232fa688190b08a2fe3f22c7a6e |
completed | Feb. 28, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69a2f013c05481909e6dc87e7b20ebd8 |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f23214248190aa5fe1138f0f5a58 |
completed | Feb. 28, 2026, 1:48 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.