Triple
T37933270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jefferson Davis obelisk |
E946272
|
entity |
| Predicate | distanceFromBirthplaceHouse |
P204483
|
FINISHED |
| Object | nearby on same site |
—
|
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: nearby on same site | Statement: [Jefferson Davis obelisk, distanceFromBirthplaceHouse, nearby on same site]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromBirthplaceHouse Context triple: [Jefferson Davis obelisk, distanceFromBirthplaceHouse, nearby on same site]
-
A.
distanceFromHo
Indicates the spatial distance measured from a specified reference point or origin labeled "Ho" to another entity.
-
B.
distancedFrom
Indicates that one entity is physically or metaphorically kept at a certain distance or separation from another entity.
-
C.
distanceToBawtry
Indicates the spatial distance between a given entity and the location of Bawtry.
-
D.
distanceFromYoung
Indicates the measured distance between an entity and a specified young individual or young reference point.
-
E.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
- 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_69f76ef3b7248190892fb9706423be7c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a192a008190a9917688a9e804f4 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:20 p.m.