Triple
T15395754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barshaini |
E368172
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Tosh |
E1148909
|
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: Tosh | Statement: [Barshaini, hasNearbyAttraction, Tosh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tosh Context triple: [Barshaini, hasNearbyAttraction, Tosh]
-
A.
Tosh
chosen
Tosh is a small, scenic Himalayan village in India’s Parvati Valley, known for its mountain views, trekking routes, and backpacker-friendly guesthouses.
-
B.
Toshi
Toshi is a Japanese given name commonly used for both males and females, often as a short form of longer names such as Toshiro or Toshiko.
-
C.
Toshley
Toshley is a collectible gnome-themed legendary minion card from Hearthstone’s Goblins vs Gnomes expansion, known for generating Spare Parts spells through its battlecry and deathrattle effects.
-
D.
Tose
Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
-
E.
Tose
Tose is a Japanese video game development company known for its extensive behind-the-scenes work creating and co-developing titles for major publishers without usually taking public credit.
- 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_69d85a16c68c819099c1b547fbc87b32 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ac79081908ac79c0b3e7587ff |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13523f548190beafd130f8741465 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.