Triple
T29796627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaječar |
E756568
|
entity |
| Predicate | isNearestUrbanCenterTo |
P143636
|
FINISHED |
| Object | Gamzigrad |
—
|
NE NERFINISHED |
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: Gamzigrad | Statement: [Zaječar, isNearestUrbanCenterTo, Gamzigrad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isNearestUrbanCenterTo Context triple: [Zaječar, isNearestUrbanCenterTo, Gamzigrad]
-
A.
nearestCityTo
chosen
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
-
B.
isNearCapitalCity
Indicates that an entity is located close to, or in the immediate vicinity of, a capital city.
-
C.
nearbyUrbanCenter
Indicates that one location is geographically close to an urban center, such as a city or large town.
-
D.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
E.
nearestIslandCity
Indicates that one city is the closest city located on an island relative to a given reference location or city.
- 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f674e690f081908e0992c9ae27c71e |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f66ac1a4fc81909740d2e52fbe6970 |
completed | May 2, 2026, 9:21 p.m. |
Created at: April 29, 2026, 5:15 p.m.