Triple
T20188021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goliath (Walibi Holland) |
E492911
|
entity |
| Predicate | previousRecord |
P139037
|
FINISHED |
| Object | tallest roller coaster in the Benelux |
—
|
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: tallest roller coaster in the Benelux | Statement: [Goliath (Walibi Holland), previousRecord, tallest roller coaster in the Benelux]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: previousRecord Context triple: [Goliath (Walibi Holland), previousRecord, tallest roller coaster in the Benelux]
-
A.
previousRecordPoints
Indicates that one record directly precedes and connects to another record in a sequence or history.
-
B.
previousRecordSpeed
Indicates that one record speed precedes another in time, representing the earlier benchmark before a new speed is achieved.
-
C.
previousHead
Indicates that one entity formerly held the position of head or leader of another entity before being succeeded.
-
D.
previousRecordSeason
Indicates that one season directly precedes another season in a chronological record or sequence.
-
E.
previousSentence
Indicates that one sentence directly precedes another in a sequence of text.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad2c43c8190a2fc5ef2a0514e53 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
| PDg | Predicate description generation | batch_69e56700b1a08190ace53cf95827d72d |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:37 p.m.