Triple
T12056554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilderness lagoons |
E287056
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Rondevlei
Rondevlei is a coastal lagoon and wetland area in South Africa known for its rich birdlife and protected natural habitat.
|
E962022
|
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: Rondevlei | Statement: [Wilderness lagoons, hasPart, Rondevlei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rondevlei Context triple: [Wilderness lagoons, hasPart, Rondevlei]
-
A.
Rensenpark
Rensenpark is a public park and cultural space in Emmen, the Netherlands, located on the former site of the city’s zoo and now used for recreation, art, and events.
-
B.
Parc de Wolvendael
Parc de Wolvendael is a large public park in the Brussels municipality of Uccle, known for its wooded areas, ponds, and recreational green spaces.
-
C.
Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
-
D.
Galmaarden
Galmaarden is a small Dutch-speaking municipality in the Flemish Brabant province of Belgium, known for its rural character and location near the language border.
-
E.
Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
- 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: Rondevlei Triple: [Wilderness lagoons, hasPart, Rondevlei]
Generated description
Rondevlei is a coastal lagoon and wetland area in South Africa known for its rich birdlife and protected natural habitat.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rondevlei Target entity description: Rondevlei is a coastal lagoon and wetland area in South Africa known for its rich birdlife and protected natural habitat.
-
A.
Rensenpark
Rensenpark is a public park and cultural space in Emmen, the Netherlands, located on the former site of the city’s zoo and now used for recreation, art, and events.
-
B.
Parc de Wolvendael
Parc de Wolvendael is a large public park in the Brussels municipality of Uccle, known for its wooded areas, ponds, and recreational green spaces.
-
C.
Beekdaelen
Beekdaelen is a municipality in the Dutch province of Limburg, known for its rural landscape, historic villages, and rolling hills.
-
D.
Galmaarden
Galmaarden is a small Dutch-speaking municipality in the Flemish Brabant province of Belgium, known for its rural character and location near the language border.
-
E.
Noorderpark
Noorderpark is a metro station in Amsterdam located on the city’s North–South Line (Line 52), serving the surrounding Noorderpark area.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043bf0ec8190a51ef2641808320c |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49dea043c8190a74ffb448bbae5d0 |
completed | May 1, 2026, 12:34 p.m. |
| NEDg | Description generation | batch_69f53d96c3f08190847ba49929b7628f |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564d2b4348190abf2d09ae00aea37 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.