Triple
T32836659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vama Veche |
E839850
|
entity |
| Predicate | distanceFromMangalia |
P205175
|
FINISHED |
| Object | approximately 7 km |
—
|
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 7 km | Statement: [Vama Veche, distanceFromMangalia, approximately 7 km]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromMangalia Context triple: [Vama Veche, distanceFromMangalia, approximately 7 km]
-
A.
distanceFromPigadia
Indicates the spatial distance between a given entity and the location named Pigadia.
-
B.
distanceFromMestia
Indicates the spatial distance between a given place and the location of Mestia.
-
C.
distanceToIalysos
Indicates a spatial relationship specifying the distance between a given entity and the location Ialysos.
-
D.
distanceToMnajdra
Indicates the spatial distance between a given entity and the location of Mnajdra.
-
E.
distanceFromClujNapoca
Indicates the spatial distance between an entity and the city of Cluj-Napoca.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a0379f0cbe481909b4b8fc6cbe297f0 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037cab06288190b093935f235ddff2 |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:16 a.m.