Triple
T36982332
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Chazy |
E914863
|
entity |
| Predicate | distanceToPlattsburgh |
P205676
|
FINISHED |
| Object | approximately 10 miles northwest |
—
|
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 10 miles northwest | Statement: [West Chazy, distanceToPlattsburgh, approximately 10 miles northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPlattsburgh Context triple: [West Chazy, distanceToPlattsburgh, approximately 10 miles northwest]
-
A.
distanceToPoughkeepsie
Indicates the spatial distance between a given entity and the location of Poughkeepsie.
-
B.
distanceToBuffalo
Indicates the measured spatial distance between a given entity and the location of Buffalo.
-
C.
distanceToRochesterNY
Indicates the spatial distance between a given entity’s location and the location of Rochester, New York.
-
D.
distanceToMassenaInMiles
Indicates the numerical distance, measured in miles, between a given entity’s location and Massena.
-
E.
distanceToSyracuse
Indicates the spatial distance between a given entity’s location and the location of Syracuse.
- 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_69f76e8dd0408190b8b46da118ea5128 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:14 p.m.