Triple
T15425375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Haven, Connecticut |
E369494
|
entity |
| Predicate | distanceToNewHavenDowntown |
P93308
|
FINISHED |
| Object | approximately 8 miles |
—
|
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 8 miles | Statement: [North Haven, Connecticut, distanceToNewHavenDowntown, approximately 8 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNewHavenDowntown Context triple: [North Haven, Connecticut, distanceToNewHavenDowntown, approximately 8 miles]
-
A.
distanceFromNewHaven
chosen
Indicates the spatial distance between an entity and the location of New Haven.
-
B.
distanceToHartford
Indicates the spatial distance between a given entity’s location and the city of Hartford.
-
C.
distanceToProvidence
Indicates the measured spatial distance between a given entity’s location and the location of Providence.
-
D.
distanceToStamford
Indicates the spatial distance between a given entity and the location Stamford.
-
E.
distanceFromWestport
Indicates the measured distance between a given location and the reference place named Westport.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec1fb288190a3625b8e4f487dd1 |
completed | April 16, 2026, 1:43 a.m. |
| PD | Predicate disambiguation | batch_69ded27f45548190a6d2b1b85cb47444 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:20 a.m.