Triple
T26628730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fermont, Quebec |
E668431
|
entity |
| Predicate | distanceToSeptÎles |
P197254
|
FINISHED |
| Object | over 500 km by road |
—
|
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: over 500 km by road | Statement: [Fermont, Quebec, distanceToSeptÎles, over 500 km by road]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToSeptÎles Context triple: [Fermont, Quebec, distanceToSeptÎles, over 500 km by road]
-
A.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
B.
distanceFromMauritius
Indicates the spatial distance between a given entity and the location of Mauritius.
-
C.
distanceToRebunIsland_km
Indicates the distance, measured in kilometers, from a given location to Rebun Island.
-
D.
distanceFromCharlotteAmalie
Indicates the measured distance between a given location and Charlotte Amalie.
-
E.
distanceFromTahiti
Indicates the measured spatial distance between a given location or object and Tahiti.
- 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_69ee9cff507c819092b95bf7219a702e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69fe831c97c88190b27ecf100e25c2a0 |
completed | May 9, 2026, 12:43 a.m. |
| PD | Predicate disambiguation | batch_69fe7f1b92648190b14e56bcaee5d0ca |
completed | May 9, 2026, 12:26 a.m. |
| PDg | Predicate description generation | batch_69fe831ba4708190a5564afd7d5a4319 |
completed | May 9, 2026, 12:43 a.m. |
Created at: April 27, 2026, 2:24 a.m.