Triple
T38236618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keywords: A Vocabulary of Culture and Society |
E1013634
|
entity |
| Predicate | typicalEntryDiscusses |
P5303
|
FINISHED |
| Object | etymology of a term |
—
|
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: etymology of a term | Statement: [Keywords: A Vocabulary of Culture and Society, typicalEntryDiscusses, etymology of a term]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalEntryDiscusses Context triple: [Keywords: A Vocabulary of Culture and Society, typicalEntryDiscusses, etymology of a term]
-
A.
typicalEntryType
Indicates the usual or standard category or kind of entry associated with something.
-
B.
typicalEntryPost
Indicates that an entity is the usual or standard post or position at which another entity typically enters or begins an activity or process.
-
C.
typicalArticle
Indicates that one entity is a standard, representative, or commonly occurring instance of the type or category denoted by the other entity.
-
D.
typicalEntryList
Indicates a relationship where an entity is associated with a standard or representative list of entries that are commonly or normally linked to it.
-
E.
frequentlyDiscussedIn
chosen
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1c850c819088795a7ae59bdeb8 |
completed | May 12, 2026, 7:06 p.m. |
Created at: May 3, 2026, 4:30 p.m.