Triple
T11191455
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catina |
E264811
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Catalina |
E328177
|
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: Catalina | Statement: [Catina, hasVariant, Catalina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catalina Context triple: [Catina, hasVariant, Catalina]
-
A.
Catalina
chosen
Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
-
B.
Santa Elena
Santa Elena is a small town in western Belize, located near San Ignacio and serving as a local commercial and residential hub in the Cayo District.
-
C.
Santa Elena
Santa Elena was a 16th-century Spanish colonial settlement on present-day Parris Island, South Carolina, that served as the capital of Spanish Florida for a time.
-
D.
Santa Elena
Santa Elena is a coastal Ecuadorian city that serves as the administrative and economic center of the surrounding province, known for its nearby beaches and tourism.
-
E.
Catalinas
Catalinas is a station on the Buenos Aires Underground, located in the central business district near the Catalinas Norte office complex.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8af18e4819091811bca657c9cb0 |
completed | April 9, 2026, 5:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483ec6ca8819082713a278c987756 |
completed | April 19, 2026, 7:27 a.m. |
Created at: April 8, 2026, 9:29 p.m.