Triple
T36944466
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubna Urban Okrug |
E913865
|
entity |
| Predicate | hasKeyCityCharacteristic |
P172974
|
FINISHED |
| Object | science city (naukograd) |
—
|
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: science city (naukograd) | Statement: [Dubna Urban Okrug, hasKeyCityCharacteristic, science city (naukograd)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyCityCharacteristic Context triple: [Dubna Urban Okrug, hasKeyCityCharacteristic, science city (naukograd)]
-
A.
hasPortCityCharacteristicsOf
Indicates that one entity possesses or exhibits the defining features, functions, or qualities typically associated with a port city of another entity.
-
B.
hasLocalityCharacteristic
Indicates that something possesses a specific characteristic or feature related to its locality, such as geographic, regional, or place-based attributes.
-
C.
hasHumanSettlementCharacteristic
chosen
Indicates that a human settlement possesses a specified characteristic, quality, or feature.
-
D.
hasHomeCityPopulationCharacteristic
Indicates that an entity’s home city possesses a specified population-related attribute or characteristic.
-
E.
hasUrbanFeature
Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd2cf39b0c8190811b8a6fa9410560 |
completed | May 8, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69fd2ad8dd988190a9899701ba00d917 |
completed | May 8, 2026, 12:14 a.m. |
Created at: May 3, 2026, 4:13 p.m.