Triple
T14276576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the APC Net |
E353929
|
entity |
| Predicate | languageOfData |
P2925
|
FINISHED |
| Object | Gallifreyan |
—
|
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: Gallifreyan | Statement: [the APC Net, languageOfData, Gallifreyan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfData Context triple: [the APC Net, languageOfData, Gallifreyan]
-
A.
languageOfRecords
Indicates the language in which the records are written or maintained.
-
B.
languageOfSources
chosen
Indicates that the specified language is the language in which the referenced sources or source materials are expressed.
-
C.
languageLabel
Indicates the human-readable name or label of a language associated with an entity or resource.
-
D.
languageOfLocalization
Indicates the language into which something (such as software, content, or an interface) has been localized for use or display.
-
E.
languageOfProduct
Indicates the language in which a product is written, labeled, presented, or otherwise made available.
- 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.