Triple
T164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massachusetts Institute of Technology |
E3
|
entity |
| Predicate | mottoLanguage |
P15
|
FINISHED |
| Object | Latin |
—
|
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: Latin | Statement: [Massachusetts Institute of Technology, mottoLanguage, Latin]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mottoLanguage Context triple: [Massachusetts Institute of Technology, mottoLanguage, Latin]
-
A.
motto
Indicates that one entity serves as the guiding phrase, slogan, or maxim associated with another entity.
-
B.
languageOfWorkOrName
chosen
Indicates the language in which a work is created or a name is expressed.
-
C.
primaryLanguageOfInstruction
Indicates the language that is mainly used as the medium of teaching or instruction for a given educational context.
-
D.
officialName
Indicates the formally recognized name assigned to an entity by an authoritative body or source.
-
E.
hasMascot
Indicates that an entity is represented or symbolized by a particular mascot.
- 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_69a222a954e48190b48f126a67485661 |
completed | Feb. 27, 2026, 11:03 p.m. |
| NER | Named-entity recognition | batch_69a228187e888190b2bb2aee9a69b61b |
completed | Feb. 27, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69a226e6f58881908808f6985f779c3c |
completed | Feb. 27, 2026, 11:21 p.m. |
Created at: Feb. 27, 2026, 11:04 p.m.