Triple
T4785691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Estrela |
E106470
|
entity |
| Predicate | hasNearbyArea |
P4647
|
FINISHED |
| Object | Lapa |
E42819
|
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: Lapa | Statement: [Estrela, hasNearbyArea, Lapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lapa Context triple: [Estrela, hasNearbyArea, Lapa]
-
A.
Lapa
chosen
Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
-
B.
Lapa Piagenti
Lapa Piagenti was the mother of the 14th-century Italian mystic and saint Catherine of Siena.
-
C.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
D.
Mazunte
Mazunte is a small, laid-back beach town on Mexico’s Oaxacan coast, known for its sea turtle conservation center, eco-tourism, and scenic Pacific shoreline.
-
E.
Ulupi
Ulupi is a Naga princess from the Indian epic Mahabharata, known for marrying the Pandava prince Arjuna and later reviving him with a boon.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65b0ea408190b348d917883381de |
completed | March 20, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c9b1a348190809c1af686b7101a |
completed | March 21, 2026, 8:53 a.m. |
Created at: March 20, 2026, 1:22 p.m.