Triple
T3607158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fountain |
E76400
|
entity |
| Predicate | title |
P38
|
FINISHED |
| Object | Fountain |
E201407
|
NE 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: Fountain | Statement: [Fountain, title, Fountain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fountain Context triple: [Fountain, title, Fountain]
-
A.
Fountain
Fountain is a small city in Colorado, United States, located just south of Colorado Springs along the Front Range.
-
B.
Fountain
chosen
Fountain is Marcel Duchamp’s groundbreaking 1917 readymade artwork consisting of a signed porcelain urinal that radically challenged traditional definitions of art.
-
C.
City of Fountains
City of Fountains is a popular nickname for Kansas City, Missouri, highlighting its abundance of decorative public fountains and water features.
-
D.
International Fountain
The International Fountain is a large, iconic water feature and public gathering spot in Seattle’s Seattle Center, known for its choreographed water jets and music.
-
E.
Raíces Fountain
Raíces Fountain is a prominent seaside monument in Old San Juan, Puerto Rico, featuring bronze sculptures that celebrate the island’s cultural and ethnic heritage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad85da0ba481908b3b48c69efe2b98 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc228e24481909ae6a1e4ad796917 |
completed | March 8, 2026, 6:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4330bc9f081909a5c1e6da885cfc5 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:22 p.m.