Triple
T700175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italic peoples |
E13981
|
entity |
| Predicate | spoke |
P13756
|
FINISHED |
| Object | Italic languages |
—
|
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: Italic languages | Statement: [Italic peoples, spoke, Italic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spoke Context triple: [Italic peoples, spoke, Italic languages]
-
A.
spokeAt
Indicates that a person delivered a talk, speech, or presentation at a particular event or location.
-
B.
alsoSpeak
chosen
Indicates that an entity, in addition to another language or mode of communication already mentioned, speaks this additional language or communicates in this additional way.
-
C.
hasSpokenAbout
Indicates that one entity has verbally expressed, discussed, or mentioned another entity or topic.
-
D.
spokenForm
Indicates the way something is pronounced or expressed in spoken language, as opposed to its written or symbolic form.
-
E.
spokenBefore
Indicates that one entity has spoken or produced speech earlier in time than another entity.
- 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_69a493406c408190957eeec9048a8fb6 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a544e3608190ac315c7aa9f88e7e |
completed | March 1, 2026, 8:44 p.m. |
| PD | Predicate disambiguation | batch_69a4a4ec8c748190b198492a0eea4445 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:36 p.m.