Triple
T17745090
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tegera Arena |
E442966
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Tegera
Tegera is a Swedish brand of protective work gloves and safety equipment produced by the company Ejendals.
|
E1284686
|
NE FINISHED |
How this triple was built (4 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: Tegera | Statement: [Tegera Arena, namedAfter, Tegera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tegera Context triple: [Tegera Arena, namedAfter, Tegera]
-
A.
Tergu
Tergu is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural setting and historic Romanesque church of Nostra Signora di Tergu.
-
B.
Turitea
Turitea is a rural locality near Palmerston North in New Zealand, known for its water supply facilities and wind farm development.
-
C.
Tatanga
Tatanga is a recurring alien villain in the Super Mario series, best known as the main antagonist of Super Mario Land and nemesis of Princess Daisy.
-
D.
Taquara
Taquara is a residential neighborhood in the West Zone of Rio de Janeiro, Brazil, known for its mix of urban development and remaining green areas.
-
E.
Tebrau
Tebrau is a suburban township and rapidly developing residential and commercial area located within Johor Bahru in the Malaysian state of Johor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tegera Triple: [Tegera Arena, namedAfter, Tegera]
Generated description
Tegera is a Swedish brand of protective work gloves and safety equipment produced by the company Ejendals.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tegera Target entity description: Tegera is a Swedish brand of protective work gloves and safety equipment produced by the company Ejendals.
-
A.
Tergu
Tergu is a small municipality in the Gallura region of northern Sardinia, Italy, known for its rural setting and historic Romanesque church of Nostra Signora di Tergu.
-
B.
Turitea
Turitea is a rural locality near Palmerston North in New Zealand, known for its water supply facilities and wind farm development.
-
C.
Tatanga
Tatanga is a recurring alien villain in the Super Mario series, best known as the main antagonist of Super Mario Land and nemesis of Princess Daisy.
-
D.
Taquara
Taquara is a residential neighborhood in the West Zone of Rio de Janeiro, Brazil, known for its mix of urban development and remaining green areas.
-
E.
Tebrau
Tebrau is a suburban township and rapidly developing residential and commercial area located within Johor Bahru in the Malaysian state of Johor.
- F. None of above. chosen
Provenance (5 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad0c5b481909059bfa868cc4001 |
completed | April 19, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a024300b5048190ba50198a7637441d |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a02449a76d8819099e72cd53f908255 |
completed | May 11, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a024530b5dc8190a4776863cc01babf |
completed | May 11, 2026, 9:08 p.m. |
Created at: April 10, 2026, 10:09 a.m.