Triple
T10587198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bastrop, Louisiana |
E249883
|
entity |
| Predicate | distanceToMonroe |
P94790
|
FINISHED |
| Object | approximately 24 miles north |
—
|
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 24 miles north | Statement: [Bastrop, Louisiana, distanceToMonroe, approximately 24 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMonroe Context triple: [Bastrop, Louisiana, distanceToMonroe, approximately 24 miles north]
-
A.
distanceToMadison
Indicates the spatial distance between a given entity and the location identified as Madison.
-
B.
distanceToMontgomery
Indicates the spatial distance between a given entity and the location identified as Montgomery.
-
C.
distanceToMontreal
Indicates the spatial distance between a given entity’s location and the city of Montreal.
-
D.
distanceToDetroit
Indicates the measured or calculated spatial distance between a given entity and the location of Detroit.
-
E.
distanceToJackson
Indicates the spatial distance or separation between a given entity and Jackson.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d5276b0ae48190b2935230363239e0 |
completed | April 7, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69d51907b2b881908ab9a8594688ee06 |
completed | April 7, 2026, 2:47 p.m. |
| PDg | Predicate description generation | batch_69d5270eca0481908573b698390c5b08 |
completed | April 7, 2026, 3:47 p.m. |
Created at: April 6, 2026, 12:39 p.m.