Triple
T12139422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Selina |
E289144
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Celina |
E611709
|
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: Celina | Statement: [Selina, hasVariant, Celina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Celina Context triple: [Selina, hasVariant, Celina]
-
A.
Celina
chosen
Celina is a rapidly growing suburban city in the northern part of the Dallas–Fort Worth metropolitan area in Texas.
-
B.
Sherida
Sherida is a Mesopotamian sun goddess, often associated with light and justice and known as the consort of the sun god Utu (Shamash).
-
C.
Bella Vista
Bella Vista is a historic, culturally vibrant neighborhood in South Philadelphia known for its Italian Market and diverse dining scene.
-
D.
Bella Vista
Bella Vista is a small unincorporated community in Northern California’s Shasta County, known for its rural setting near Redding.
-
E.
McKinney
McKinney is a surname of Scottish and Irish origin borne by various notable individuals, including American politician and activist Cynthia McKinney.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158eef48819083bdce283a363414 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f690ae408190966bb4fe8feaa7d2 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.