Triple
T11250782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MonstroCity: Rampage |
E266315
|
entity |
| Predicate | hasBuildingMechanic |
P48192
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [MonstroCity: Rampage, hasBuildingMechanic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBuildingMechanic Context triple: [MonstroCity: Rampage, hasBuildingMechanic, true]
-
A.
hasOrganBuilder
Indicates a relationship where an organ (typically a pipe organ) is associated with the person or company that built it.
-
B.
associatedWithMechanic
Indicates a relationship where an entity is connected or linked to a mechanic, such as a process, rule, or functional mechanism involved in its operation or behavior.
-
C.
hasCraftsman
Indicates that one entity serves as the craftsman, maker, or artisan responsible for creating, building, or crafting another entity.
-
D.
featuresMechanic
chosen
Indicates that something includes or incorporates a particular mechanic as part of its design or functionality.
-
E.
hasMechanism
Indicates that one entity operates, functions, or produces an effect through the specified mechanism or process.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e93212448190b46b3799b0bdfa0f |
completed | April 9, 2026, 6 p.m. |
| PD | Predicate disambiguation | batch_69d78793c00481908a3f764b610b77a4 |
completed | April 9, 2026, 11:03 a.m. |
Created at: April 8, 2026, 9:31 p.m.