Triple
T22792204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binibeca |
E564139
|
entity |
| Predicate | distanceFromMahon |
P149737
|
FINISHED |
| Object | approximately 10 kilometers |
—
|
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 10 kilometers | Statement: [Binibeca, distanceFromMahon, approximately 10 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMahon Context triple: [Binibeca, distanceFromMahon, approximately 10 kilometers]
-
A.
distanceToMoshi
Indicates the spatial distance between a given entity and the location Moshi.
-
B.
distanceFromMahé
Indicates the measured spatial distance between a given entity’s location and Mahé.
-
C.
distanceFromHamilton
Indicates the spatial distance between a given entity and the location identified as Hamilton.
-
D.
distanceToMonaghan_km
Indicates the physical distance, measured in kilometers, between a given place and Monaghan.
-
E.
distanceToMatamata_km
Indicates the physical distance, measured in kilometers, between an entity and the location Matamata.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cd5778c81909a18317ff98e341c |
completed | April 29, 2026, 3:36 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:30 p.m.