Triple
T18370637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ferengi |
E446171
|
entity |
| Predicate | numberOfRulesOfAcquisition |
P130858
|
FINISHED |
| Object | 285 |
—
|
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: 285 | Statement: [Ferengi, numberOfRulesOfAcquisition, 285]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfRulesOfAcquisition Context triple: [Ferengi, numberOfRulesOfAcquisition, 285]
-
A.
numberOfRulesPlanned
Indicates the planned or intended count of rules associated with an entity or process.
-
B.
hasRulebook
Indicates that one entity possesses, is governed by, or is associated with a specific rulebook.
-
C.
numberOfLaws
Indicates the quantitative count of laws associated with a given entity or context.
-
D.
acquisition
Indicates the act or relationship in which one entity obtains ownership or control of another entity, asset, or resource.
-
E.
numberOfRulesCompleted
Indicates the count of rules that have been successfully completed or satisfied in a given context.
- 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_69d8b9f370b88190b1e5081c2c238e7f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e5175324e48190a00572e15423feb7 |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
| PDg | Predicate description generation | batch_69e451a1bda48190a9cd1db436d4be62 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 10:44 a.m.