Triple
T4541523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Faithful Inn |
E107541
|
entity |
| Predicate | distanceToOldFaithfulGeyser |
P57587
|
FINISHED |
| Object | within walking distance |
—
|
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: within walking distance | Statement: [Old Faithful Inn, distanceToOldFaithfulGeyser, within walking distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToOldFaithfulGeyser Context triple: [Old Faithful Inn, distanceToOldFaithfulGeyser, within walking distance]
-
A.
distanceToYellowstoneEastEntrance
Indicates the measured distance from a given location or entity to the east entrance of Yellowstone National Park.
-
B.
distanceFromVesuvius
Indicates the spatial distance between an entity and Mount Vesuvius.
-
C.
distanceToGreatSmokyMountainsNationalPark
Indicates the spatial distance between an entity and Great Smoky Mountains National Park.
-
D.
distanceToMountRushmore
Indicates the measured or calculated spatial distance between an entity and Mount Rushmore.
-
E.
distanceToWashingtonMonument
Indicates the physical distance between a given entity’s location and the Washington Monument.
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57d219d88190a67ada845323d7fb |
completed | March 20, 2026, 2:21 p.m. |
| PD | Predicate disambiguation | batch_69bd5220e40481908ca2d7e2c43d8531 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56f6e75481909c487a94a2c2d0ba |
completed | March 20, 2026, 2:17 p.m. |
Created at: March 20, 2026, 1:04 p.m.