Triple
T35784125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Villasimius |
E1034516
|
entity |
| Predicate | approxDistanceInKmFromCagliari |
P127436
|
FINISHED |
| Object | 50 |
—
|
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: 50 | Statement: [Villasimius, approxDistanceInKmFromCagliari, 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approxDistanceInKmFromCagliari Context triple: [Villasimius, approxDistanceInKmFromCagliari, 50]
-
A.
distanceToCagliari
chosen
Indicates the spatial distance between a given entity and the location of Cagliari.
-
B.
distanceToCefalù
Indicates the spatial distance between a given entity and the location of Cefalù.
-
C.
distanceToPalermoApprox
Indicates an approximate distance relationship between an entity and the city of Palermo.
-
D.
directionFromCagliari
Indicates the cardinal or relative direction of an entity as measured from the location of Cagliari.
-
E.
distanceToSavona_km
Indicates the physical distance, measured in kilometers, between a given entity’s location and the city of Savona.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff76ac40988190a34d858b5472ee2b |
completed | May 9, 2026, 6:02 p.m. |
| PD | Predicate disambiguation | batch_69ff760a90948190a12fcb80e6e3e14b |
completed | May 9, 2026, 5:59 p.m. |
Created at: May 3, 2026, 4:06 p.m.