Triple
T24974370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Owen |
E624977
|
entity |
| Predicate | distanceToTeckCastle |
P168527
|
FINISHED |
| Object | approximately 3 kilometres |
—
|
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 3 kilometres | Statement: [Owen, distanceToTeckCastle, approximately 3 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToTeckCastle Context triple: [Owen, distanceToTeckCastle, approximately 3 kilometres]
-
A.
distanceFromCastlebay
Indicates the spatial distance between an entity and the location known as Castlebay.
-
B.
distanceToTábor
Indicates the spatial distance between a given entity and the location named Tábor.
-
C.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
-
D.
distanceToSneek
Indicates the spatial distance between an entity and the location named Sneek.
-
E.
distanceToFez
Indicates the spatial distance between a given entity and the location identified as Fez.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f67595fa7c8190b6e9f7a8c700dd97 |
completed | May 2, 2026, 10:07 p.m. |
| PD | Predicate disambiguation | batch_69f673c2f81c8190bf369226306eef09 |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f674df80b08190adb7f7531083bbb1 |
completed | May 2, 2026, 10:04 p.m. |
Created at: April 18, 2026, 6:01 a.m.