Triple
T37503336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gorod Krovi |
E932026
|
entity |
| Predicate | hasMachine |
P103353
|
FINISHED |
| Object | Pack-a-Punch machine |
E2204008
|
NE 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: Pack-a-Punch machine | Statement: [Gorod Krovi, hasMachine, Pack-a-Punch machine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMachine Context triple: [Gorod Krovi, hasMachine, Pack-a-Punch machine]
-
A.
hasMill
Indicates that an entity possesses, contains, or is associated with a mill (e.g., as an owner, host location, or site).
-
B.
hasHardware
chosen
Indicates that one entity possesses, includes, or is equipped with specific hardware components or devices.
-
C.
hasMachineryClass
Indicates that an entity is associated with or categorized under a specific class or type of machinery.
-
D.
hasMIC
Indicates that an entity has a specified Minimum Inhibitory Concentration (MIC) value in relation to an antimicrobial agent.
-
E.
hasMP
Indicates that an entity is represented by, or associated with, a specific Member of Parliament (MP).
- F. None of above.
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_69f76ec5268481909ea01c73aeeefd42 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_6a037c8efcd4819088c2aeead65d93df |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a40a7e56b34819090426cbc6de5a335 |
completed | June 28, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_6a037a1553e08190bb7424c448cb1f33 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:17 p.m.