Triple
T4614216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dictionary.com |
E100827
|
entity |
| Predicate | hasThesaurusSite |
P16554
|
FINISHED |
| Object | https://www.thesaurus.com |
—
|
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: https://www.thesaurus.com | Statement: [Dictionary.com, hasThesaurusSite, https://www.thesaurus.com]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasThesaurusSite Context triple: [Dictionary.com, hasThesaurusSite, https://www.thesaurus.com]
-
A.
hasSubjectThesaurus
Indicates that an entity is associated with or described using a particular subject thesaurus or controlled subject vocabulary.
-
B.
lexiconStatus
Indicates the current state or condition of a lexical item within a lexicon, such as whether it is active, deprecated, provisional, or otherwise classified.
-
C.
hasSisterSite
chosen
Indicates that one site is formally associated with another as a sister site, typically implying a parallel or closely related counterpart.
-
D.
sharesLexiconWith
Indicates that two entities use or are associated with the same set of lexical items, vocabulary, or word inventory.
-
E.
isTheophoric
Indicates that something (typically a name or term) incorporates the name of a deity or refers explicitly to a god.
- 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_69bd43cf363c819087fd5ab441b4a3f4 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd59c2678c8190ab8f9420e866521d |
completed | March 20, 2026, 2:29 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.