Triple
T22759205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ttéia |
E562936
|
entity |
| Predicate | hasVersion |
P455
|
FINISHED |
| Object | Ttéia 1 |
—
|
NE NERFINISHED |
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: Ttéia 1 | Statement: [Ttéia, hasVersion, Ttéia 1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ttéia 1 Context triple: [Ttéia, hasVersion, Ttéia 1]
-
A.
Ttéia
chosen
Ttéia is a renowned series of immersive geometric installations by Brazilian artist Lygia Pape, composed of delicate metallic threads and light to create ethereal spatial environments.
-
B.
Tieta
Tieta is a celebrated novel by Brazilian author Jorge Amado that blends social satire, sensuality, and regional life in Bahia through the story of a woman returning in triumph to her conservative hometown.
-
C.
TTE
TTE is the stock ticker symbol for TotalEnergies SE, a major French multinational energy company involved in oil, gas, and renewable energy.
-
D.
Prima Tesh
Prima Tesh is the daughter of American pianist, composer, and television host John Tesh.
-
E.
T1
T1 is one of the tram routes of the Trambaix light rail network serving the Barcelona metropolitan area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24552e11c81909c2d61578a558bd7 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7b4fe88190b1da25b78f046d13 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:25 p.m.