Triple
T17326707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-Os |
E420703
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Metric |
E733229
|
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: Metric | Statement: [K-Os, associatedAct, Metric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metric Context triple: [K-Os, associatedAct, Metric]
-
A.
Metric
chosen
Metric is a Canadian indie rock and synth-pop band known for their catchy melodies, atmospheric electronics, and the distinctive vocals of frontwoman Emily Haines.
-
B.
Metera
Metera is an important archaeological site in Eritrea known for its ancient ruins and inscriptions reflecting the region’s early civilizations.
-
C.
International System of Units
The International System of Units is the globally accepted standard for measurement, defining a coherent set of base and derived units used in science, industry, and everyday life.
-
D.
Catalogue of Metres
Catalogue of Metres is a section of Snorri Sturluson's Prose Edda that systematically illustrates and explains the various Old Norse poetic metres through example verses.
-
E.
Kilo
Kilo is a residential district in the city of Espoo, Finland, known for its apartment blocks, local services, and good commuter rail connections to Helsinki and surrounding areas.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439d321c881909e63a6870b152c8c |
completed | April 19, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c4c2dc08190b60982abc9ac7c9c |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:43 a.m.