Triple
T20898160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlo Sand Blow |
E514596
|
entity |
| Predicate | proximityToTownCentre |
P53174
|
FINISHED |
| Object | walking distance from Rainbow Beach town centre |
—
|
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: walking distance from Rainbow Beach town centre | Statement: [Carlo Sand Blow, proximityToTownCentre, walking distance from Rainbow Beach town centre]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proximityToTownCentre Context triple: [Carlo Sand Blow, proximityToTownCentre, walking distance from Rainbow Beach town centre]
-
A.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
-
B.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
-
C.
roadDistanceToCityCentre_km
Indicates the distance in kilometers from a location to the city centre when traveling by road.
-
D.
isFartherFromCityCenterThan
Indicates that one location is at a greater distance from the city center than another location.
-
E.
proximityToLandmark
chosen
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
- 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6e8f826788190b11008cc94b2a4e4 |
completed | April 21, 2026, 3:03 a.m. |
| PD | Predicate disambiguation | batch_69e5c9ac91108190a6700fcdf2f11890 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:47 p.m.