Triple
T22346426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toyohashi |
E552402
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Tahara |
—
|
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: Tahara | Statement: [Toyohashi, borderedBy, Tahara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tahara Context triple: [Toyohashi, borderedBy, Tahara]
-
A.
Tahara
Tahara is a feminine given name, often considered a variant of Tara, used in various cultures.
-
B.
Tahara
chosen
Tahara is a coastal city in central Japan known for its automotive manufacturing industry and scenic Cape Irago on the Atsumi Peninsula.
-
C.
Hirapa
Hirapa is a popular amusement park in Hirakata, Osaka, Japan, known for its variety of rides, seasonal events, and family-friendly attractions.
-
D.
Subashi ruins
The Subashi ruins are the remains of an ancient Buddhist temple complex near Kucha in Xinjiang, China, notable for its role on the Silk Road and its well-preserved Buddhist art and architecture.
-
E.
Kulun
Kulun is an alternative name for the Kulon language, a lesser-known Papuan language spoken in parts of Indonesia.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157981c0881909ac74d68b99075c2 |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.