Triple
T1903303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Broca |
E37741
|
entity |
| Predicate | inferredLateralization |
P33795
|
FINISHED |
| Object | left hemisphere dominance for language |
—
|
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 hemisphere dominance for language | Statement: [Paul Broca, inferredLateralization, left hemisphere dominance for language]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inferredLateralization Context triple: [Paul Broca, inferredLateralization, left hemisphere dominance for language]
-
A.
handedness
Indicates the preference or dominance of one hand over the other in performing actions or tasks.
-
B.
hasAssociatedBrainRegions
Indicates that certain brain regions are functionally, structurally, or conceptually linked to a given entity or process.
-
C.
hasLexicalInfluenceOn
Indicates that one linguistic element (such as a word, phrase, or lexicon) has affected or shaped the form, usage, or meaning of another linguistic element.
-
D.
leftLandmark
Indicates that one entity is positioned to the left side of another entity, serving as a spatial reference point or landmark.
-
E.
numberOfLaterals
Indicates the count of lateral branches or side elements associated with a given entity or structure.
- 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.