Triple
T1903302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Broca |
E37741
|
entity |
| Predicate | inferredLocationOfSpeechProduction |
P33794
|
FINISHED |
| Object | left frontal lobe |
—
|
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: left frontal lobe | Statement: [Paul Broca, inferredLocationOfSpeechProduction, left frontal lobe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferredLocationOfSpeechProduction Context triple: [Paul Broca, inferredLocationOfSpeechProduction, left frontal lobe]
-
A.
vocalizationMethod
Indicates the manner or technique by which an entity produces a sound or vocal expression.
-
B.
locationOfDiscourse
Indicates the place or setting where a particular discourse, conversation, or communicative event occurs.
-
C.
hasLanguageRegulatorLocation
Indicates the location where the official regulatory body or authority for a language is based or operates.
-
D.
placeOfSpeech
Indicates the location where a speech or spoken event takes place.
-
E.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
- F. None of above. chosen
Provenance (4 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb34d94fc8190a5bf1e582c77c725 |
completed | March 7, 2026, 5:10 a.m. |
| PD | Predicate disambiguation | batch_69abafe9f8b0819086d8f6288511c66d |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb34c4a64819096e12b152b84c334 |
completed | March 7, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:35 p.m.