Triple
T19810167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina |
E475921
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Tena |
—
|
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: Tena | Statement: [Tina, hasVariant, Tena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tena Context triple: [Tina, hasVariant, Tena]
-
A.
Tena
Tena is a small city in Ecuador’s Amazon region known as a gateway for jungle tourism and whitewater rafting.
-
B.
Tena
Tena is a municipality in the Tequendama Province of the Cundinamarca Department in central Colombia, known for its rural landscapes and proximity to Bogotá.
-
C.
Wataya
Wataya is a Japanese surname borne by individuals such as Chieko Wataya.
-
D.
Nakasi
Nakasi is a major suburban and commercial area within Fiji’s Suva–Nausori urban corridor.
-
E.
Ninpei
Ninpei was a Japanese era (nengō) of the late Heian period, spanning the reign of Emperor Toba and used to mark years in imperial court records and documents.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6542ac1b48190a0cb69dbceca74da |
completed | April 20, 2026, 4:28 p.m. |
Created at: April 10, 2026, 1:50 p.m.