Triple
T13021582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Site 2 |
E326183
|
entity |
| Predicate | distanceFromSite1 |
P107504
|
FINISHED |
| Object | approximately 15–30 km |
—
|
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: approximately 15–30 km | Statement: [Site 2, distanceFromSite1, approximately 15–30 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSite1 Context triple: [Site 2, distanceFromSite1, approximately 15–30 km]
-
A.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
B.
distanceFromStation
Indicates the measured spatial separation between an entity and a specified station.
-
C.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
D.
distanceFromReading
Indicates the measured spatial distance between a specified entity and the location of Reading.
-
E.
distanceProvidedBy
Indicates that a specific distance value is supplied or made available by a particular source or provider.
- 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_69d8076cc45c81908123123f43e69266 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97ed05e9c8190a4f208662bca0602 |
completed | April 10, 2026, 10:50 p.m. |
| PD | Predicate disambiguation | batch_69d97dc39a0881908119c62e31bf6182 |
completed | April 10, 2026, 10:46 p.m. |
| PDg | Predicate description generation | batch_69d97e3df2288190a7f27d31d248bb7f |
completed | April 10, 2026, 10:48 p.m. |
Created at: April 9, 2026, 8:52 p.m.