Triple
T3062230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TED conferences |
E62020
|
entity |
| Predicate | expandedFocus |
P31
|
FINISHED |
| Object | science |
—
|
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: science | Statement: [TED conferences, expandedFocus, science]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: expandedFocus Context triple: [TED conferences, expandedFocus, science]
-
A.
expandedBy
Indicates that one entity increases, elaborates, or builds upon the scope, detail, or extent of another entity.
-
B.
expandedAcross
Indicates that something has grown or extended so that it now spans or covers multiple areas, regions, or segments.
-
C.
expandedAfter
Indicates that one entity increases in size, scope, or extent after another specified event or point in time.
-
D.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
E.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ad9e9f33d88190bd481cb7f18ceb91 |
completed | March 8, 2026, 4:06 p.m. |
| PD | Predicate disambiguation | batch_69ad962326e081909d5521c3d3ea3158 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 3:02 p.m.