Triple
T37458526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Monument Valley |
E930859
|
entity |
| Predicate | numberOfLevelsAtLaunch |
P6578
|
FINISHED |
| Object | 10 |
—
|
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: 10 | Statement: [Monument Valley, numberOfLevelsAtLaunch, 10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLevelsAtLaunch Context triple: [Monument Valley, numberOfLevelsAtLaunch, 10]
-
A.
recommendedLevelAtLaunch
Indicates the level that is advised or expected for an entity at the moment it is first introduced or made available.
-
B.
numberOfLevels
chosen
Indicates the total count of hierarchical layers, stages, or floors associated with an entity.
-
C.
zoneLevelRangeAtLaunch
Indicates the range of zone levels that apply at the moment something is launched or begins.
-
D.
startingLevelMaximum
Indicates the highest allowable starting level or initial value that something can have at the beginning of a process or state.
-
E.
startingLevelRange
Indicates the range of initial levels at which an entity, activity, or state begins.
- F. None of above.
Provenance (3 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a13a1308190a202df66f4781855 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.