Triple
T32288679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hash Point |
E824903
|
entity |
| Predicate | distanceFromAgadir |
P90346
|
FINISHED |
| Object | approximately 20 km north |
—
|
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 20 km north | Statement: [Hash Point, distanceFromAgadir, approximately 20 km north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAgadir Context triple: [Hash Point, distanceFromAgadir, approximately 20 km north]
-
A.
distanceToAgadir
chosen
Indicates the spatial distance between a given entity’s location and the city of Agadir.
-
B.
distanceFromMarrakesh
Indicates the spatial distance between a given location and the city of Marrakesh.
-
C.
distanceToTaroudant_km
Indicates the physical distance, measured in kilometers, between an entity and the location Taroudant.
-
D.
distanceToOuarzazate
Indicates the measured or estimated spatial distance between a given entity and the location of Ouarzazate.
-
E.
distanceFromTinghir
Indicates the spatial distance between a given entity’s location and the location of Tinghir.
- 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_69f349101b788190b4f14884dc7d1ed2 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a035052a47081908e9e56e21c543d46 |
completed | May 12, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_6a034d306e588190a2dce906fd46eb54 |
completed | May 12, 2026, 3:54 p.m. |
Created at: May 1, 2026, 12:44 a.m.