Triple
T32055800
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heidentor |
E818613
|
entity |
| Predicate | distanceFromCarnuntumCityCenter |
P204071
|
FINISHED |
| Object | approximately 900 meters southwest |
—
|
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 900 meters southwest | Statement: [Heidentor, distanceFromCarnuntumCityCenter, approximately 900 meters southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromCarnuntumCityCenter Context triple: [Heidentor, distanceFromCarnuntumCityCenter, approximately 900 meters southwest]
-
A.
distanceFromHadriansWall
Indicates the measured spatial distance between a given entity and Hadrian’s Wall.
-
B.
distanceToPula
Indicates the measured or calculated spatial distance between a given entity and the location Pula.
-
C.
distanceFromVienna
Indicates the spatial distance between a given entity’s location and the city of Vienna.
-
D.
distanceToKremsAnDerDonau_km
Indicates the physical distance, measured in kilometers, between an entity and the location Krems an der Donau.
-
E.
distanceFromPompeii
Indicates the spatial distance between a given entity and the location of Pompeii.
- 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_69f348fdacec8190b9f74375ca3b2094 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a03173dd4988190a38175b63cba9f09 |
completed | May 12, 2026, 12:04 p.m. |
| PD | Predicate disambiguation | batch_6a031700ade88190afd217d5966b03b4 |
completed | May 12, 2026, 12:03 p.m. |
| PDg | Predicate description generation | batch_6a03173d2a0c8190be051944693e3914 |
completed | May 12, 2026, 12:04 p.m. |
Created at: May 1, 2026, 12:21 a.m.