Triple
T11182999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Willow Park, Texas |
E264588
|
entity |
| Predicate | directionFromFortWorth |
P97732
|
FINISHED |
| Object | 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: west | Statement: [Willow Park, Texas, directionFromFortWorth, west]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directionFromFortWorth Context triple: [Willow Park, Texas, directionFromFortWorth, west]
-
A.
directionFromFortWorthDowntown
Indicates the compass direction or bearing from downtown Fort Worth to another specified location.
-
B.
directionFromAustin
Indicates the cardinal or relative compass direction in which one entity is located from Austin.
-
C.
isLocatedInDirectionFromKansasCity
Indicates that one place is situated in a specific cardinal or relative direction from Kansas City.
-
D.
directionFromChicago
Indicates the cardinal or relative compass direction of an entity’s location measured from Chicago.
-
E.
distanceFromDallas
Indicates the measured distance between a given place or entity and the city of Dallas.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8a9c5e081908c85b41a268428fb |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d77062271c8190b63da714ab5beff9 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.