Triple
T8584567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barton |
E203271
|
entity |
| Predicate | hasGreenBeltStatus |
P82982
|
FINISHED |
| Object | within Cambridge Green Belt |
—
|
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: within Cambridge Green Belt | Statement: [Barton, hasGreenBeltStatus, within Cambridge Green Belt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGreenBeltStatus Context triple: [Barton, hasGreenBeltStatus, within Cambridge Green Belt]
-
A.
hasBlackBeltIn
Indicates that an entity holds a black belt rank or equivalent high-level certification in a specified martial art or discipline.
-
B.
hasBeginnerFriendlyTraining
Indicates that an entity provides training or instructional resources suitable for beginners or those with little prior experience.
-
C.
hasQualification
Indicates that an entity possesses a specific qualification, credential, or competency.
-
D.
hasTrainingFor
Indicates that an entity has received or possesses training that prepares it for performing a specific task, role, or function.
-
E.
hasJuniorStatus
Indicates that one entity holds a lower, subordinate, or less senior status relative to another entity within a defined hierarchy or context.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbeb1ecc188190bbe2ab8d2423505b |
completed | March 31, 2026, 3:41 p.m. |
| PD | Predicate disambiguation | batch_69cbd11b13108190b07f8f161425a585 |
completed | March 31, 2026, 1:50 p.m. |
| PDg | Predicate description generation | batch_69cbe12dd0b88190a38ec4d15dcc870b |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 6:22 p.m.