Triple
T2627689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TivoliVredenburg |
E59158
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hertz
Hertz is one of the concert halls within the TivoliVredenburg music complex in Utrecht, known for hosting a variety of live performances and cultural events.
|
E283545
|
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: Hertz | Statement: [TivoliVredenburg, hasPart, Hertz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hertz Context triple: [TivoliVredenburg, hasPart, Hertz]
-
A.
Hertz
Hertz is a German surname most famously associated with physicist Heinrich Hertz, after whom the unit of frequency is named.
-
B.
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
C.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
D.
Durant Motors
Durant Motors was an early 20th-century American automobile manufacturer created by General Motors co-founder William C. Durant after his departure from GM.
-
E.
DS Automobiles
DS Automobiles is a French premium automotive brand known for its avant-garde design, advanced technology, and luxury-focused vehicles.
- 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: Hertz Triple: [TivoliVredenburg, hasPart, Hertz]
Generated description
Hertz is one of the concert halls within the TivoliVredenburg music complex in Utrecht, known for hosting a variety of live performances and cultural events.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hertz Target entity description: Hertz is one of the concert halls within the TivoliVredenburg music complex in Utrecht, known for hosting a variety of live performances and cultural events.
-
A.
Hertz
Hertz is a German surname most famously associated with physicist Heinrich Hertz, after whom the unit of frequency is named.
-
B.
Mobil
Mobil is a major American oil company and fuel brand that became part of ExxonMobil after a 1999 merger.
-
C.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
D.
Durant Motors
Durant Motors was an early 20th-century American automobile manufacturer created by General Motors co-founder William C. Durant after his departure from GM.
-
E.
DS Automobiles
DS Automobiles is a French premium automotive brand known for its avant-garde design, advanced technology, and luxury-focused vehicles.
- 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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8b3f72c819085e88f1d74495593 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90a06c4c81908cc4dca65f2190bd |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af92089ef48190bcc31106e98e3cdf |
completed | March 10, 2026, 3:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af927bb1d0819081ab11eb4470e28d |
completed | March 10, 2026, 3:39 a.m. |
Created at: March 6, 2026, 9:50 p.m.