Triple
T31301661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Did Something Bad |
E798228
|
entity |
| Predicate | hasHeavyProduction |
P136566
|
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: [I Did Something Bad, hasHeavyProduction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeavyProduction Context triple: [I Did Something Bad, hasHeavyProduction, true]
-
A.
featuresHeavyProduction
chosen
Indicates that something involves intensive, large-scale, or complex production work, often requiring substantial resources or effort.
-
B.
hasProduction
Indicates that an entity is associated with, or responsible for, the creation or manufacture of another entity or product.
-
C.
brassHeavyProduction
Indicates a production process or activity characterized by the large-scale or intensive manufacture of brass.
-
D.
hasMajorProductionSystem
Indicates that an entity primarily operates, utilizes, or is characterized by a particular major production system.
-
E.
hasProductionFacilitiesIn
Indicates that an entity operates or owns production facilities located within a specified geographic area or jurisdiction.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 29, 2026, 9:14 p.m.