Triple
T19460576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paragon Park |
E486856
|
entity |
| Predicate | hasNotableAttraction |
P5121
|
FINISHED |
| Object |
Kiddieland
Kiddieland was a children’s amusement area featuring small-scale rides and attractions designed specifically for young visitors.
|
E176307
|
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: Kiddieland | Statement: [Paragon Park, hasNotableAttraction, Kiddieland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kiddieland Context triple: [Paragon Park, hasNotableAttraction, Kiddieland]
-
A.
Kiddyland
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
-
B.
Kid 'n Play
Kid 'n Play is a late-1980s and early-1990s American hip hop duo best known for their upbeat party rap, signature dance moves, and the House Party film series.
-
C.
Kiddies Carnival
Kiddies Carnival is a vibrant children’s masquerade parade and competition that showcases young participants in colorful costumes as part of Trinidad and Tobago’s annual Carnival celebrations.
-
D.
K.I.D.S.
K.I.D.S. is a breakout mixtape by American rapper Mac Miller that helped launch his early mainstream popularity.
-
E.
Kripp
Kripp is a district of the town of Remagen in the Rhineland-Palatinate region of Germany, situated along the Rhine River.
- 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: Kiddieland Triple: [Paragon Park, hasNotableAttraction, Kiddieland]
Generated description
Kiddieland was a children’s amusement area featuring small-scale rides and attractions designed specifically for young visitors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kiddieland Target entity description: Kiddieland was a children’s amusement area featuring small-scale rides and attractions designed specifically for young visitors.
-
A.
Kiddyland
chosen
Kiddyland is a children’s amusement area within Playland Park featuring kid-friendly rides and attractions.
-
B.
Kid 'n Play
Kid 'n Play is a late-1980s and early-1990s American hip hop duo best known for their upbeat party rap, signature dance moves, and the House Party film series.
-
C.
Kiddies Carnival
Kiddies Carnival is a vibrant children’s masquerade parade and competition that showcases young participants in colorful costumes as part of Trinidad and Tobago’s annual Carnival celebrations.
-
D.
K.I.D.S.
K.I.D.S. is a breakout mixtape by American rapper Mac Miller that helped launch his early mainstream popularity.
-
E.
Kripp
Kripp is a district of the town of Remagen in the Rhineland-Palatinate region of Germany, situated along the Rhine River.
- F. None of above.
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_69d8e8d86d608190bd199a98d0297f27 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e633c7f4388190be8c207c94ba8889 |
completed | April 20, 2026, 2:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a073b3a5ce88190a35e6b6195c5ca02 |
completed | May 15, 2026, 3:26 p.m. |
| NEDg | Description generation | batch_6a073c0a02c8819080b0e71caf65e6fa |
completed | May 15, 2026, 3:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a073d0e92d48190880317263fe6e481 |
completed | May 15, 2026, 3:34 p.m. |
Created at: April 10, 2026, 1:38 p.m.