Triple
T19786726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ringelspitz |
E475288
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Tamins |
—
|
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: Tamins | Statement: [Ringelspitz, near, Tamins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamins Context triple: [Ringelspitz, near, Tamins]
-
A.
Tamins
chosen
Tamins is a municipality in the canton of Graubünden in eastern Switzerland, known for its location near the confluence of the Rhine rivers and its scenic Alpine surroundings.
-
B.
Tammun
Tammun is a Palestinian town located in the Tubas Governorate in the northeastern West Bank.
-
C.
Tarama
Tarama is a small island municipality in Okinawa Prefecture, Japan, known for its subtropical climate, traditional Ryukyuan culture, and surrounding coral reefs.
-
D.
Tutaminis
Tutaminis is a Force ability in the Star Wars universe that allows a user to absorb, dissipate, or redirect incoming energy attacks, including Force lightning.
-
E.
Tadamine
Tadamine is a Japanese given name historically borne by figures such as the Heian-period waka poet Mibu no Tadamine.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65389145881909385f36f56cd250b |
completed | April 20, 2026, 4:25 p.m. |
Created at: April 10, 2026, 1:49 p.m.