Triple
T17945331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amethyst |
E448687
|
entity |
| Predicate | residence |
P75
|
FINISHED |
| Object | Beach City |
—
|
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: Beach City | Statement: [Amethyst, residence, Beach City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beach City Context triple: [Amethyst, residence, Beach City]
-
A.
Beach City
chosen
Beach City is the small coastal town in the animated series "Steven Universe," known as the home of Steven, the Crystal Gems, and many of the show's central events.
-
B.
Coast City
Coast City is a major fictional American coastal metropolis in the DC Universe, best known as the longtime home of Green Lantern Hal Jordan.
-
C.
Verona Beach
Verona Beach is the modern, stylized coastal city that serves as the backdrop for Baz Luhrmann’s 1996 film adaptation of Shakespeare’s "Romeo + Juliet."
-
D.
Seatown
Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
-
E.
Seatown
Seatown is a small coastal village in Dorset, England, known for its beach, cliffs, and location along the Jurassic Coast.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad990b948190a5e6fd50a15f64e3 |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.