Triple
T8701056
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Landbeach |
E206531
|
entity |
| Predicate | directionFromCambridge |
P84631
|
FINISHED |
| Object | north |
—
|
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: north | Statement: [Landbeach, directionFromCambridge, north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromCambridge Context triple: [Landbeach, directionFromCambridge, north]
-
A.
directionFromOxford
Indicates the cardinal or relative compass direction of one place or object as measured from Oxford.
-
B.
distanceFromCambridgeCentre
Indicates the spatial distance between a given entity and the central point of Cambridge.
-
C.
directionFromBristol
Indicates the cardinal or relative compass direction of one place or object as measured outward starting from Bristol.
-
D.
directionFromLondon
Indicates the cardinal or relative compass direction of an entity’s location when measured from London.
-
E.
directionFromGrantham
Indicates the cardinal or relative compass direction in which one entity is located from Grantham.
- 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_69ca83555b6c8190abe930dd397e863b |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc58b38cf88190bfdcbac9c340cb96 |
completed | March 31, 2026, 11:28 p.m. |
| PD | Predicate disambiguation | batch_69cc456bda508190a9aa0fb92760739e |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc582412f48190ae819965bfb0e75d |
completed | March 31, 2026, 11:26 p.m. |
Created at: March 30, 2026, 6:34 p.m.