Triple
T13687836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalina |
E328177
|
entity |
| Predicate | hasDiminutive |
P456
|
FINISHED |
| Object | Cata |
E740964
|
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: Cata | Statement: [Catalina, hasDiminutive, Cata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cata Context triple: [Catalina, hasDiminutive, Cata]
-
A.
El Cata
chosen
El Cata is a Dominican singer, songwriter, and producer known for his influential role in modern merengue and Latin urban music, including collaborations with major international artists.
-
B.
Cataby
Cataby is a small locality in Western Australia known primarily as a roadside stop and service point along major transport routes.
-
C.
Cateel
Cateel is a coastal municipality in the province of Davao Oriental in the Philippines, known for its natural attractions such as Aliwagwag Falls.
-
D.
Catha
Catha is an Etruscan solar and possibly lunar goddess associated with light, the heavens, and the transition between day and night.
-
E.
Catu
Catu is a municipality in the state of Bahia, Brazil, located within the Metropolitan Region of Salvador and known historically for its role in regional agriculture and oil production.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc670968881908e2b4fdf656c7285 |
completed | April 12, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7944981ec8190be5ff39b7c2c70ab |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.