Triple
T17310672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novacene epoch |
E420285
|
entity |
| Predicate | fieldOfDiscourse |
P5303
|
FINISHED |
| Object | futures studies |
—
|
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: futures studies | Statement: [Novacene epoch, fieldOfDiscourse, futures studies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldOfDiscourse Context triple: [Novacene epoch, fieldOfDiscourse, futures studies]
-
A.
discourse
Indicates that one entity engages in extended verbal or written communication or discussion with another entity.
-
B.
languageOfDebate
Indicates that a specified language is the one used for conducting a particular debate.
-
C.
linguisticField
Indicates that something pertains to or is associated with a particular area or subdiscipline within linguistics.
-
D.
frequentlyDiscussedIn
chosen
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
E.
fieldOfWriting
Indicates that one entity is the domain, genre, or subject area in which another entity writes or produces written work.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4399837b08190b7cf74201b3cb013 |
completed | April 19, 2026, 2:10 a.m. |
| PD | Predicate disambiguation | batch_69e3b01b9d1c8190a406dd941c9b11a1 |
completed | April 18, 2026, 4:23 p.m. |
Created at: April 10, 2026, 5:43 a.m.