Triple
T13728643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amyclae |
E329731
|
entity |
| Predicate | distanceFromSparta |
P111324
|
FINISHED |
| Object | approximately 5 kilometers south |
—
|
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 5 kilometers south | Statement: [Amyclae, distanceFromSparta, approximately 5 kilometers south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromSparta Context triple: [Amyclae, distanceFromSparta, approximately 5 kilometers south]
-
A.
distanceFromDelphi
Indicates the spatial distance between a given entity or location and the reference point Delphi.
-
B.
distanceFromCorinth_km
Indicates the distance, measured in kilometers, between a given place or object and the location of Corinth.
-
C.
distanceFromAthens_km
Indicates the physical distance, measured in kilometers, between a given place and the city of Athens.
-
D.
distanceToPula
Indicates the measured or calculated spatial distance between a given entity and the location Pula.
-
E.
distanceToPatras
Indicates the spatial distance between a given entity or location and the city of Patras.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69dbbe92d77c81908e0244cffb7f78c5 |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:55 p.m.