Triple
T20447326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aughnacloy |
E501550
|
entity |
| Predicate | distanceToMonaghan_km |
P140148
|
FINISHED |
| Object | approximately 16 |
—
|
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 16 | Statement: [Aughnacloy, distanceToMonaghan_km, approximately 16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToMonaghan_km Context triple: [Aughnacloy, distanceToMonaghan_km, approximately 16]
-
A.
distanceFromCorkCity
Indicates the spatial distance between a given place and Cork City.
-
B.
distanceFromDublinCityCentre_km
Indicates the physical distance, measured in kilometers, between an entity’s location and the center of Dublin city.
-
C.
distanceFromHamilton
Indicates the spatial distance between a given entity and the location identified as Hamilton.
-
D.
distanceToMonroe
Indicates the measured distance between a given entity and the location named Monroe.
-
E.
distanceToMasterton_km
Indicates the distance, measured in kilometers, between a given location and Masterton.
- 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_69e0b4ac0a1c81908845d0f8a56abce8 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e68cfe57a8819094bd3d324bd567f5 |
completed | April 20, 2026, 8:30 p.m. |
| PD | Predicate disambiguation | batch_69e57679eb40819086142df3e39c928e |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:32 a.m.