Triple
T1398100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enchanted Forest Water Safari |
E30715
|
entity |
| Predicate | numberOfWaterRides |
P27733
|
FINISHED |
| Object | more than 50 |
—
|
LITERAL FINISHED |
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: more than 50 | Statement: [Enchanted Forest Water Safari, numberOfWaterRides, more than 50]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfWaterRides Context triple: [Enchanted Forest Water Safari, numberOfWaterRides, more than 50]
-
A.
numberOfRollerCoasters
Indicates the quantity of roller coasters associated with a given entity.
-
B.
hasThrillRides
Indicates that an entity offers or includes thrill rides as part of its features or attractions.
-
C.
hasBoatRides
Indicates that one entity offers, provides, or features boat rides in relation to another entity.
-
D.
hasWaterPark
Indicates that one entity possesses, includes, or features a water park as part of its facilities or attributes.
-
E.
numberOfGondolas
Indicates the quantity of gondolas associated with a given entity or system.
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c382b6588190833c39ac84fb6139 |
completed | March 1, 2026, 10:53 p.m. |
| PD | Predicate disambiguation | batch_69a4bf017f8081908572121560ec621f |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c13270d8819081d8ee1be34cabf5 |
completed | March 1, 2026, 10:44 p.m. |
Created at: March 1, 2026, 7:59 p.m.