Triple
T37283640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trewoon |
E925469
|
entity |
| Predicate | distanceFromStAustell_miles |
P205815
|
FINISHED |
| Object | approximately 2 |
—
|
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 2 | Statement: [Trewoon, distanceFromStAustell_miles, approximately 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromStAustell_miles Context triple: [Trewoon, distanceFromStAustell_miles, approximately 2]
-
A.
distanceToAyr
Indicates the measured distance between a given entity or location and Ayr.
-
B.
distanceToStAndrews_km
Indicates the physical distance, measured in kilometers, between a given location and St Andrews.
-
C.
distanceToFortAugustus
Indicates the measured distance between a given entity or location and Fort Augustus.
-
D.
distanceTo_Aberystwyth_km
Indicates the distance, measured in kilometers, between a given entity and Aberystwyth.
-
E.
distanceFromStirling
Indicates the spatial distance measured from the reference location Stirling to another place or 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_69f76eafe20c8190856d3b996a4c31a7 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a11efc08190bb7cacc1325b4dc6 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:16 p.m.