Triple
T9109117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | USGS Lake Placid |
E218549
|
entity |
| Predicate | showsCulturalFeatures |
P48416
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [USGS Lake Placid, showsCulturalFeatures, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showsCulturalFeatures Context triple: [USGS Lake Placid, showsCulturalFeatures, yes]
-
A.
hasCulturalFeature
Indicates that an entity possesses, includes, or is characterized by a particular cultural element, attribute, or landmark.
-
B.
culturalScene
Indicates a relationship where an entity is associated with, participates in, or characterizes a particular cultural environment, milieu, or set of cultural activities.
-
C.
hasCulturalAttractions
chosen
Indicates that a place or entity possesses notable cultural points of interest, such as museums, theaters, historic sites, or artistic venues.
-
D.
culturalElements
Indicates a relationship where certain elements (such as practices, symbols, or artifacts) belong to, express, or characterize a particular culture or cultural context.
-
E.
culturalType
Indicates the classification of something according to its cultural category, style, or tradition.
- 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_69ca83db7448819090d0a5de842ef2ac |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca845d9b0819084230e7cdd92dee0 |
completed | April 1, 2026, 5:08 a.m. |
| PD | Predicate disambiguation | batch_69cc65fe5be081909d4470d6317b14a6 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:16 p.m.