Triple
T10941023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garner State Park |
E258469
|
entity |
| Predicate | distanceFromSanAntonio |
P96755
|
FINISHED |
| Object | approximately 90 miles west |
—
|
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 90 miles west | Statement: [Garner State Park, distanceFromSanAntonio, approximately 90 miles west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSanAntonio Context triple: [Garner State Park, distanceFromSanAntonio, approximately 90 miles west]
-
A.
distanceFromDallas
Indicates the measured distance between a given place or entity and the city of Dallas.
-
B.
distanceToAustin
Indicates the spatial distance between a given entity or location and the city of Austin.
-
C.
distanceToAmarillo
Indicates the spatial distance between a given entity and the location Amarillo.
-
D.
distanceToSanDiego
Indicates the measured or estimated distance between a given entity’s location and the city of San Diego.
-
E.
distanceToCorpusChristi
Indicates the spatial distance between a given entity’s location and the location of Corpus Christi.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c2821c8190a7b08276c4bfbf33 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69d7322370648190ba14cdd6fb4cdcb0 |
completed | April 9, 2026, 4:59 a.m. |
Created at: April 8, 2026, 9:23 p.m.