Triple
T36926429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Talmo, Georgia |
E913353
|
entity |
| Predicate | distanceToGainesvilleInMiles |
P205642
|
FINISHED |
| Object | 12 |
—
|
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: 12 | Statement: [Talmo, Georgia, distanceToGainesvilleInMiles, 12]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGainesvilleInMiles Context triple: [Talmo, Georgia, distanceToGainesvilleInMiles, 12]
-
A.
distanceToTallahasseeInMiles
Indicates the physical distance, measured in miles, between a given entity’s location and Tallahassee.
-
B.
distanceToTallahassee
Indicates the spatial distance between a given entity’s location and the city of Tallahassee.
-
C.
distanceToFlorida
Indicates the spatial distance between a given entity’s location and the state of Florida.
-
D.
distanceFromMiami
Indicates the spatial distance between a given entity’s location and the city of Miami.
-
E.
distanceFromOrlando
Indicates the measured spatial distance between a given place or object and the location of Orlando.
- 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_69f76e896c988190880c130e01303dd4 |
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, 4:13 p.m.