Triple
T19806669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilversum |
E475829
|
entity |
| Predicate | hasBroadcaster |
P16302
|
FINISHED |
| Object |
NTR
NTR is a Dutch public-service broadcaster known for producing educational, cultural, and informative programming.
|
E1395744
|
NE FINISHED |
How this triple was built (4 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: NTR | Statement: [Hilversum, hasBroadcaster, NTR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NTR Context triple: [Hilversum, hasBroadcaster, NTR]
-
A.
NTR
NTR is the IATA airport code for Del Norte International Airport, a regional airport serving Monterrey, Mexico.
-
B.
NTR
NTR is the abbreviation for the National Transcontinental Railway, a historic Canadian transcontinental rail line built in the early 20th century to connect eastern and western Canada.
-
C.
NTR
NTR is the stock ticker symbol for Nutrien Ltd., a major global producer and distributor of crop nutrients and agricultural products.
-
D.
NTR Jr.
NTR Jr. is a prominent Indian film actor and playback singer known for his leading roles in Telugu cinema and his dynamic performances in action and drama films.
-
E.
NTR Marg
NTR Marg is a prominent road in Hyderabad, India, known for bordering key landmarks and recreational areas such as NTR Gardens along the Hussain Sagar lake.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: NTR Triple: [Hilversum, hasBroadcaster, NTR]
Generated description
NTR is a Dutch public-service broadcaster known for producing educational, cultural, and informative programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NTR Target entity description: NTR is a Dutch public-service broadcaster known for producing educational, cultural, and informative programming.
-
A.
NTR
NTR is the IATA airport code for Del Norte International Airport, a regional airport serving Monterrey, Mexico.
-
B.
NTR
NTR is the abbreviation for the National Transcontinental Railway, a historic Canadian transcontinental rail line built in the early 20th century to connect eastern and western Canada.
-
C.
NTR
NTR is the stock ticker symbol for Nutrien Ltd., a major global producer and distributor of crop nutrients and agricultural products.
-
D.
NTR Jr.
NTR Jr. is a prominent Indian film actor and playback singer known for his leading roles in Telugu cinema and his dynamic performances in action and drama films.
-
E.
NTR Marg
NTR Marg is a prominent road in Hyderabad, India, known for bordering key landmarks and recreational areas such as NTR Gardens along the Hussain Sagar lake.
- 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428f5c48190be6ae0d6a77675d2 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c50c6a7c81908bf0d55dad7a6556 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c66178108190a6fc2d7566af44ad |
completed | May 16, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c73b731881909c8abaeb541e34f9 |
completed | May 16, 2026, 1:24 a.m. |
Created at: April 10, 2026, 1:49 p.m.