Triple
T31670600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Townsend, Montana |
E808258
|
entity |
| Predicate | distanceToHelenaInMiles |
P203795
|
FINISHED |
| Object | about 35 |
—
|
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: about 35 | Statement: [Townsend, Montana, distanceToHelenaInMiles, about 35]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToHelenaInMiles Context triple: [Townsend, Montana, distanceToHelenaInMiles, about 35]
-
A.
isInDirectionFromHelena
Indicates that one entity is located in a specified compass or spatial direction when measured outward starting from Helena.
-
B.
distanceToMontgomery
Indicates the spatial distance between a given entity and the location identified as Montgomery.
-
C.
distanceToWasillaInMiles
Indicates the numerical distance, measured in miles, between a given entity’s location and the city of Wasilla.
-
D.
distanceToHuntsville
Indicates the measured distance between a given entity and the location Huntsville.
-
E.
distanceToTalkeetnaInMiles
Indicates the numerical distance, measured in miles, from a given entity or location to Talkeetna.
- 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_69f348dbeef4819080b446a7feb6340b |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a0205c0bff481908238a382459b3a93 |
completed | May 11, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_6a0205143f20819087ee31576835be26 |
completed | May 11, 2026, 4:34 p.m. |
| PDg | Predicate description generation | batch_6a0205bfab208190982728a690ce183d |
completed | May 11, 2026, 4:37 p.m. |
Created at: April 30, 2026, 11:01 p.m.