Triple
T23355623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Zone of Recife |
E593038
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object | Mustardinha |
E132988
|
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: Mustardinha | Statement: [West Zone of Recife, containsNeighborhood, Mustardinha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mustardinha Context triple: [West Zone of Recife, containsNeighborhood, Mustardinha]
-
A.
Mustardinha
chosen
Mustardinha is a neighborhood located in the city of Recife, in northeastern Brazil.
-
B.
Pimentinha
Pimentinha is the affectionate nickname of Elis Regina, one of Brazil’s most iconic and influential popular music singers.
-
C.
Mustard
Mustard is an American record producer and DJ known for his minimalist, club-oriented West Coast hip hop sound and numerous chart-topping collaborations.
-
D.
Mehunaise
Mehunaise is the French demonym for a female inhabitant of the town of Mehun-sur-Yèvre in central France.
-
E.
Pepperpot
Pepperpot was the wartime nickname of the British Royal Navy light cruiser HMS Penelope, famed for her numerous shell holes and resilience in World War II.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a176b548190bf5a08bb2585344d |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dcfa8248190a55172c9784d804a |
completed | May 19, 2026, 12:55 p.m. |
Created at: April 17, 2026, 5:26 p.m.