Triple
T5737503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tapirira |
E126534
|
entity |
| Predicate | commonName |
P570
|
FINISHED |
| Object | Tapirira |
E126534
|
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: Tapirira | Statement: [Tapirira, commonName, Tapirira]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tapirira Context triple: [Tapirira, commonName, Tapirira]
-
A.
Tapirira
chosen
Tapirira is a genus of tropical trees in the cashew and sumac family, known for species that often dominate lowland Neotropical forests.
-
B.
Tigre
Tigre is a Semitic Afroasiatic language spoken primarily by the Tigre people in Eritrea and parts of Sudan.
-
C.
Guabiraba
Guabiraba is a neighborhood and administrative district located in the northern part of Recife, in the state of Pernambuco, Brazil.
-
D.
Boi-ngo
Boi-ngo is a 1987 studio album by American new wave band Oingo Boingo, showcasing their blend of rock, ska, and quirky, theatrical pop.
-
E.
HippopotoMai-Tai
HippopotoMai-Tai is a tropical, tiki-style rum cocktail themed to Disney’s Trader Sam character and served as one of the bar’s playful, over-the-top specialty drinks.
- 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_69c0083082288190b7478cead6b5430a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0255c8c308190821f968ec41c5078 |
completed | March 22, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e10e4d08190bfb8162d53cfb443 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:47 p.m.