Triple
T15229194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert |
E363953
|
entity |
| Predicate | distanceToAmiens |
P117652
|
FINISHED |
| Object | about 30 kilometres northeast |
—
|
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: about 30 kilometres northeast | Statement: [Albert, distanceToAmiens, about 30 kilometres northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToAmiens Context triple: [Albert, distanceToAmiens, about 30 kilometres northeast]
-
A.
distanceToRouen
Indicates the spatial distance between a given entity and the location of Rouen.
-
B.
distanceToReims
Indicates the spatial distance between a given entity and the location of Reims.
-
C.
distanceFromAvignon
Indicates the spatial distance separating a given entity or location from Avignon.
-
D.
distanceToMeauxKilometersApprox
Indicates the approximate distance, measured in kilometers, between a given location and Meaux.
-
E.
distanceFromAngersKilometres
Indicates the physical distance, measured in kilometers, between an entity and the location of Angers.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0078ccdf48190b34eabd9e24e45a1 |
completed | April 15, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69deca899d5c8190be4a7c71e1683c69 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2ca6148190967c319728ec3661 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:12 a.m.