Triple
T2081674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bangor television market |
E45256
|
entity |
| Predicate | measurementOrganization |
P35664
|
FINISHED |
| Object | Nielsen |
E208322
|
NE FINISHED |
How this triple was built (3 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: Nielsen | Statement: [Bangor television market, measurementOrganization, Nielsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nielsen Context triple: [Bangor television market, measurementOrganization, Nielsen]
-
A.
Nielsen
Nielsen is a common Scandinavian surname, particularly prevalent in Denmark and Norway, traditionally meaning "son of Niels."
-
B.
Nielson
Nielson is a surname and given name that functions as a spelling variant of Nelson, commonly of Scandinavian or English origin.
-
C.
Nielsen Company
chosen
Nielsen Company is a global measurement and data analytics firm best known for providing audience and consumer insights across media, entertainment, and retail industries.
-
D.
Bomis
Bomis was an early web portal and search engine company co-founded by Jimmy Wales that later played a key role in funding and incubating Wikipedia.
-
E.
Luminate Data
Luminate Data is a music and entertainment data analytics company that tracks and reports industry metrics such as sales, streaming, and airplay used to compile major charts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: measurementOrganization Context triple: [Bangor television market, measurementOrganization, Nielsen]
-
A.
typeOfMeasure
Indicates that one entity specifies the kind or category of measurement used to quantify or evaluate another entity.
-
B.
measuredBy
Indicates that something’s quantity, extent, or value is determined or expressed using a particular measurement method, instrument, or unit.
-
C.
unitOfMeasure
Indicates that one entity specifies the standard unit in which the quantity or value of another entity is measured.
-
D.
hasMeasurement
Indicates that an entity is associated with a specific measured value, often including a unit or measurement context.
-
E.
meter
Indicates a measurement relationship where one entity quantifies the length, distance, or extent of another in meters.
- F. None of above. chosen
Provenance (5 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_69a8891869c88190a02643e3bb746f59 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abba35c2588190933dba882f52dd17 |
completed | March 7, 2026, 5:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae273ad87c8190a7b1407868692202 |
completed | March 9, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69abb7b298a48190b4bdf7c9800b058d |
completed | March 7, 2026, 5:29 a.m. |
| PDg | Predicate description generation | batch_69abb94ec400819097596732aabed854 |
completed | March 7, 2026, 5:36 a.m. |
Created at: March 4, 2026, 7:41 p.m.