Triple
T6977093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thankful |
E161740
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Low |
E91544
|
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: Low | Statement: [Thankful, hasTrack, Low]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Low Context triple: [Thankful, hasTrack, Low]
-
A.
Low
chosen
Low is an American indie rock band from Duluth, Minnesota, known for their minimalist, slow-tempo sound and hushed vocal harmonies often associated with the "slowcore" genre.
-
B.
LOWW
LOWW is the ICAO airport code for Vienna International Airport, the main international gateway serving Vienna, Austria.
-
C.
Low family
The Low family is a prominent American mercantile and political dynasty historically linked to New York commerce and intermarried with influential families such as the Delanos.
-
D.
Low Mass
Low Mass is a simpler, typically quieter form of the traditional Latin Tridentine Mass celebrated by a priest with minimal ceremonial and usually without music.
-
E.
Low Force
Low Force is a picturesque series of low waterfalls and rapids on the River Tees in northern England, popular with walkers and nature enthusiasts.
- 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_69c68854a0d88190bc0bf82263f1afce |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db677bbc8190a084b6951e5c3182 |
completed | March 27, 2026, 7:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c76a0ad57c81909aec9f619dc68bd7 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:31 p.m.