Triple
T11871840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver Surfer |
E282423
|
entity |
| Predicate | boardProperties |
P101975
|
FINISHED |
| Object | nearly indestructible |
—
|
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: nearly indestructible | Statement: [Silver Surfer, boardProperties, nearly indestructible]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: boardProperties Context triple: [Silver Surfer, boardProperties, nearly indestructible]
-
A.
board
Indicates that an agent gets onto or into a vehicle, vessel, or craft in order to travel or be transported.
-
B.
MonopolyBoardPositionType
Indicates the specific type or category of a position on a Monopoly board, such as property, utility, railroad, tax, or special spaces like Chance or Jail.
-
C.
usesBoardShape
Indicates that one entity employs or is designed to work with a particular board shape as part of its function or configuration.
-
D.
hasBoardComposition
Indicates that an entity has a specific structure or makeup of its governing board, such as the types or proportions of members who serve on it.
-
E.
MonopolyBoardColorGroup
Indicates that multiple Monopoly properties belong to the same color-coded property group on the game board.
- 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_69d6ab2945d081908a5851c916cbcfb5 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d39d2934819093b9f7006f45e5cb |
completed | April 10, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69d8bb272f88819090c37c944c5a60ab |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:43 p.m.