Triple
T28900897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 新竹市 |
E732946
|
entity |
| Predicate | hasHighSpeedRailStationNearby |
P50052
|
FINISHED |
| Object | 高鐵新竹站 |
—
|
NE NERFINISHED |
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: 高鐵新竹站 | Statement: [新竹市, hasHighSpeedRailStationNearby, 高鐵新竹站]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighSpeedRailStationNearby Context triple: [新竹市, hasHighSpeedRailStationNearby, 高鐵新竹站]
-
A.
hasHighSpeedRailStation
chosen
Indicates that a location is served by a high-speed rail station where high-speed trains regularly stop.
-
B.
hasRailStation
Indicates that one entity possesses, contains, or is served by a rail station.
-
C.
hasRailwayStation
Indicates that a place or location is served by, or contains, a railway station.
-
D.
hasRailwayStationOn
Indicates that a railway station is located on or serves a particular railway line, route, or network segment.
-
E.
hasNearbyRailwayStation
Indicates that a railway station is located within a short or convenient distance from the referenced entity.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: April 28, 2026, 8:02 a.m.