Triple
T37037256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carters Beach |
E916676
|
entity |
| Predicate | distanceToWestport |
P82260
|
FINISHED |
| Object | approximately 6 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 6 kilometres | Statement: [Carters Beach, distanceToWestport, approximately 6 kilometres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToWestport Context triple: [Carters Beach, distanceToWestport, approximately 6 kilometres]
-
A.
distanceFromWestport
chosen
Indicates the measured distance between a given location and the reference place named Westport.
-
B.
distanceToNewport
Indicates the measured or calculated distance between a given entity and the location named Newport.
-
C.
distanceToHartford
Indicates the spatial distance between a given entity’s location and the city of Hartford.
-
D.
distanceFromPortWashington
Indicates the measured distance between a given location and Port Washington.
-
E.
distanceToFalmouth
Indicates the physical distance between a given location or entity and the place named Falmouth.
- F. None of above.
Provenance (3 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_69f76e93ec4c8190be81cf87354d9155 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.