Triple
T25269835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Livadi Beach |
E633536
|
entity |
| Predicate | distanceFromChora |
P179178
|
FINISHED |
| Object | short distance |
—
|
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: short distance | Statement: [Livadi Beach, distanceFromChora, short distance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromChora Context triple: [Livadi Beach, distanceFromChora, short distance]
-
A.
distanceFromGori
Indicates the spatial distance between a given entity or location and the place named Gori.
-
B.
distanceToPula
Indicates the measured or calculated spatial distance between a given entity and the location Pula.
-
C.
distanceFromChios
Indicates the spatial distance between an entity and the location of Chios.
-
D.
distanceFromHo
Indicates the spatial distance measured from a specified reference point or origin labeled "Ho" to another entity.
-
E.
distanceToBhisho
Indicates the spatial distance between an entity and the location Bhisho.
- 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f7201e241c819092d56a7bb99dc94d |
completed | May 3, 2026, 10:14 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: April 21, 2026, 1:16 p.m.