Triple
T2665507
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E55624
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Roselle |
E152044
|
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: Roselle | Statement: [Elizabeth, adjacentTo, Roselle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roselle Context triple: [Elizabeth, adjacentTo, Roselle]
-
A.
Roselle
chosen
Roselle is a suburban village in northeastern Illinois, United States, located in the Chicago metropolitan area.
-
B.
Reseda
Reseda is a residential neighborhood in the central San Fernando Valley region of Los Angeles, known for its suburban character and diverse community.
-
C.
Aloysia
Aloysia is a feminine given name, historically used in European contexts and closely related to the name Louise.
-
D.
Lantana
Lantana is a 2001 Australian psychological drama film directed by Ray Lawrence, acclaimed for its intricate, interwoven narrative about relationships, trust, and betrayal.
-
E.
Kassia
Kassia was a 9th-century Byzantine abbess, poet, and hymnographer renowned as one of the earliest and most important female composers in the Eastern Orthodox tradition.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96ed2748190a4feae98199b459d |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa058fdd08190a355fc8131cd6695 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.