Triple
T16225882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman The Ride |
E393842
|
entity |
| Predicate | trainPosition |
P122235
|
FINISHED |
| Object | below track |
—
|
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: below track | Statement: [Batman The Ride, trainPosition, below track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trainPosition Context triple: [Batman The Ride, trainPosition, below track]
-
A.
playingPosition
Indicates the specific role or position an individual occupies while participating in a game or sport.
-
B.
trainNumberDirection
Indicates the specific direction in which a train, identified by its train number, is traveling or scheduled to travel.
-
C.
rackPosition
Indicates the spatial placement or slot of an item within a rack or racking system.
-
D.
trainCount
Indicates the number of trains associated with a given entity, context, or time period.
-
E.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d25f8bc81909aa59b794a528db2 |
completed | April 17, 2026, 2:01 p.m. |
| PD | Predicate disambiguation | batch_69e219e94a448190b73a4e6aa374eb4a |
completed | April 17, 2026, 11:30 a.m. |
| PDg | Predicate description generation | batch_69e21e55a2388190b29a045a8c608ba4 |
completed | April 17, 2026, 11:49 a.m. |
Created at: April 10, 2026, 5:03 a.m.