Triple
T36605168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mad Tea Party |
E903025
|
entity |
| Predicate | parkAreaAtTokyoDisneyland |
P186208
|
FINISHED |
| Object | Fantasyland |
—
|
NE NERFINISHED |
How this triple was built (2 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: Fantasyland | Statement: [Mad Tea Party, parkAreaAtTokyoDisneyland, Fantasyland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: parkAreaAtTokyoDisneyland Context triple: [Mad Tea Party, parkAreaAtTokyoDisneyland, Fantasyland]
-
A.
parkArea
Indicates that an area of land is designated and used as a park or recreational green space.
-
B.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
C.
parkEntranceArea
Indicates the area that serves as an entrance or access point to a park.
-
D.
regionOfPark
Indicates that one entity is a geographic or administrative region that contains or is designated as a specific park.
-
E.
areaOfPark
Indicates the size or extent of a park measured in units of area.
- F. None of above. chosen
Provenance (4 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_69f76e66b7b88190848f7a3e1188915f |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7cabacc1481909e839454ce1057f7 |
completed | May 3, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69f7c8999a348190abc1895eaa6e036d |
completed | May 3, 2026, 10:13 p.m. |
| PDg | Predicate description generation | batch_69f7c9f4c7c48190ba918d8d5dc8dfd9 |
completed | May 3, 2026, 10:19 p.m. |
Created at: May 3, 2026, 4:11 p.m.