Triple
T25335116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linden |
E635254
|
entity |
| Predicate | distanceToGeorgetown_km |
P41772
|
FINISHED |
| Object | approximately 100 |
—
|
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 100 | Statement: [Linden, distanceToGeorgetown_km, approximately 100]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToGeorgetown_km Context triple: [Linden, distanceToGeorgetown_km, approximately 100]
-
A.
distanceFromGeorgeTown
chosen
Indicates the measured spatial distance between a given location and George Town.
-
B.
distanceToWashingtonDC
Indicates the physical distance between a given location and Washington, D.C.
-
C.
distanceToGatineauByRoad_km
Indicates the length, in kilometers, of the road route needed to travel from an entity to Gatineau.
-
D.
distanceToStGeorge_km
Indicates the physical distance, measured in kilometers, between a given entity and the location of St. George.
-
E.
distanceToKingstonApprox
Indicates an approximate distance between a given location and Kingston.
- F. None of above.
Provenance (3 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_69e75a99bd6481909476115b35b9a8e4 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f73223675481908c1bc3208c0f5284 |
completed | May 3, 2026, 11:31 a.m. |
| PD | Predicate disambiguation | batch_69f7317690108190b3aae2cd2e1d069e |
completed | May 3, 2026, 11:28 a.m. |
Created at: April 21, 2026, 1:32 p.m.