Triple
T18256260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stack (Haskell build tool) |
E437228
|
entity |
| Predicate | readsFormat |
P31899
|
FINISHED |
| Object | .cabal file |
—
|
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: .cabal file | Statement: [Stack (Haskell build tool), readsFormat, .cabal file]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: readsFormat Context triple: [Stack (Haskell build tool), readsFormat, .cabal file]
-
A.
readsFrom
Indicates that one entity obtains or accesses data, information, or content from another entity as a source.
-
B.
readIn
Indicates that an entity reads or studies something within a particular location or context.
-
C.
readBy
Indicates that a particular text, document, or content item has been read or consumed by a specific person or agent.
-
D.
readingFeature
Indicates that an entity possesses a characteristic, capability, or attribute specifically related to reading.
-
E.
packageFormat
chosen
Indicates the format or type in which a package is structured, encoded, or delivered.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4fd85ee548190a102611fcf709ad4 |
completed | April 19, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69e44fcdee748190bae6fb76e0cb22f3 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:34 a.m.