Triple
T819562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margaret |
E17722
|
entity |
| Predicate | hasCognate |
P2525
|
FINISHED |
| Object | Margarita |
E66654
|
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: Margarita | Statement: [Margaret, hasCognate, Margarita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margarita Context triple: [Margaret, hasCognate, Margarita]
-
A.
Margarita
chosen
Margarita is a feminine given name of Spanish origin, equivalent to "Margaret" in English.
-
B.
Mariquita
Mariquita is a historic town in central Colombia known as an early colonial settlement and former mining center.
-
C.
MAMACITA
"MAMACITA" is a 2020 Latin-influenced pop and reggaeton single by the Black Eyed Peas featuring Ozuna and J. Rey Soul.
-
D.
Brandy
Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
-
E.
Margeride
Margeride is a mountainous and sparsely populated region in south-central France known for its granite plateaus, forests, and traditional rural landscapes.
- 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_69a4937bcaac8190a322524ac6f45a5a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4ab656418819091ecb09e7ede2825 |
completed | March 1, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7928f8a808190aaf5f2a2f3ee676f |
completed | March 4, 2026, 2:01 a.m. |
Created at: March 1, 2026, 7:38 p.m.