Triple
T10022584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LC-19 |
E200644
|
entity |
| Predicate | blockhouseDistanceFromPad |
P91750
|
FINISHED |
| Object | approximately 400 meters |
—
|
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 400 meters | Statement: [LC-19, blockhouseDistanceFromPad, approximately 400 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: blockhouseDistanceFromPad Context triple: [LC-19, blockhouseDistanceFromPad, approximately 400 meters]
-
A.
distanceToBorder
Indicates the measured or estimated spatial separation between a given entity or location and the nearest relevant border or boundary.
-
B.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
-
C.
isMostDistantHumanMadeObject
Indicates that the subject is the human-made object currently farthest from Earth (or from its point of origin).
-
D.
proximityToLandmark
Indicates a spatial relationship where one entity is located near or close to a specified landmark.
-
E.
distanceFromStation
Indicates the measured spatial separation between an entity and a specified station.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd7ae36c8190896946be065fbf78 |
completed | April 2, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:53 p.m.