Triple
T15682855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leiden |
E377622
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Stevenshof
Stevenshof is a residential neighborhood in the Dutch city of Leiden, known for its modern housing and family-friendly environment.
|
E1170820
|
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: Stevenshof | Statement: [Leiden, hasPart, Stevenshof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stevenshof Context triple: [Leiden, hasPart, Stevenshof]
-
A.
Zonnemaire
Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
-
B.
Hegewisch
Hegewisch is a far Southeast Side neighborhood of Chicago known for its industrial roots, rail yards, and proximity to the Calumet River and Indiana border.
-
C.
Hofstadt
Hofstadt is the maiden surname of Betty Draper, a central character on the television series "Mad Men."
-
D.
Bredevoort
Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
-
E.
Nordhoff
Nordhoff is a surname most notably associated with American author and journalist Charles Nordhoff.
- 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: Stevenshof Triple: [Leiden, hasPart, Stevenshof]
Generated description
Stevenshof is a residential neighborhood in the Dutch city of Leiden, known for its modern housing and family-friendly environment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Stevenshof Target entity description: Stevenshof is a residential neighborhood in the Dutch city of Leiden, known for its modern housing and family-friendly environment.
-
A.
Zonnemaire
Zonnemaire is a small village in the Dutch province of Zeeland, notable as the birthplace of Nobel Prize–winning physicist Pieter Zeeman.
-
B.
Hegewisch
Hegewisch is a far Southeast Side neighborhood of Chicago known for its industrial roots, rail yards, and proximity to the Calumet River and Indiana border.
-
C.
Hofstadt
Hofstadt is the maiden surname of Betty Draper, a central character on the television series "Mad Men."
-
D.
Bredevoort
Bredevoort is a small historic town in the Dutch province of Gelderland, known for its well-preserved medieval character and its reputation as a national "book town."
-
E.
Nordhoff
Nordhoff is a surname most notably associated with American author and journalist Charles Nordhoff.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f31b5b881908e46ecd9fc6048ab |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ee4c8688190ae2fefb56171161a |
completed | May 9, 2026, 5:29 p.m. |
| NEDg | Description generation | batch_69ff705476008190b6151491bf89654e |
completed | May 9, 2026, 5:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff70ea739081909f63657c8fd6fa81 |
completed | May 9, 2026, 5:37 p.m. |
Created at: April 10, 2026, 4:16 a.m.