Triple
T35382548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lung Yeuk Tau |
E1022689
|
entity |
| Predicate | heritageTrailNumberOfStops |
P192874
|
FINISHED |
| Object | around 13 |
—
|
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: around 13 | Statement: [Lung Yeuk Tau, heritageTrailNumberOfStops, around 13]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: heritageTrailNumberOfStops Context triple: [Lung Yeuk Tau, heritageTrailNumberOfStops, around 13]
-
A.
pilgrimageStopNumber
Indicates the ordinal position of a specific stop or location within a defined pilgrimage route or sequence.
-
B.
hasNumberOfTrails
Indicates the specific count of trails associated with or available in a given entity.
-
C.
numberOfScenicSpots
Indicates the quantity of scenic spots associated with a given entity.
-
D.
historicalRouteNumberOf
Indicates that one route number was previously used to designate the same route or segment as another, but is no longer its current official number.
-
E.
trailStopOn
Indicates that one entity stops or terminates at the endpoint of a trail or path associated with another entity.
- 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_69f76df28d8c819089f2c5799fe7d079 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
| PDg | Predicate description generation | batch_69fd2cf29f808190856ab1d43a51d5c7 |
completed | May 8, 2026, 12:23 a.m. |
Created at: May 3, 2026, 4:03 p.m.