Triple
T34723742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollasky |
E1000990
|
entity |
| Predicate | hasGeographicalFeatureClass |
P63447
|
FINISHED |
| Object | populated place |
—
|
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: populated place | Statement: [Pollasky, hasGeographicalFeatureClass, populated place]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGeographicalFeatureClass Context triple: [Pollasky, hasGeographicalFeatureClass, populated place]
-
A.
hasGeographyCharacteristic
Indicates that an entity possesses a specific geographical feature, property, or attribute.
-
B.
hasGeographicType
Indicates that an entity is associated with or classified by a specific type or category of geographic feature or area.
-
C.
USGSFeatureClass
chosen
Indicates a classification relationship where a geographic feature is assigned a specific feature class category as defined by the U.S. Geological Survey.
-
D.
physiographicClassificationBy
Indicates a relationship where an entity is assigned a physiographic category or type according to a specified classifier, method, or authority.
-
E.
isDerivedFromTopographicalFeature
Indicates that something originates from, is based on, or is obtained from a specific topographical or geographic feature.
- 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_69f76daeb6e48190a4c9a6b0edc80f72 |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 3, 2026, 3:59 p.m.