Triple
T18108931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Track A: Algorithms, Complexity and Games |
E433421
|
entity |
| Predicate | areaWithin |
P39182
|
FINISHED |
| Object | automata, languages and programming |
—
|
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: automata, languages and programming | Statement: [Track A: Algorithms, Complexity and Games, areaWithin, automata, languages and programming]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaWithin Context triple: [Track A: Algorithms, Complexity and Games, areaWithin, automata, languages and programming]
-
A.
isInArea
chosen
Indicates that one entity is located within the spatial bounds or region defined by another entity.
-
B.
includesAreaOf
Indicates that one entity encompasses or contains the spatial extent or area covered by another entity.
-
C.
enclosesArea
Indicates that one entity surrounds and contains a bounded region of space occupied or defined by another.
-
D.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
-
E.
regionContains
Indicates that one region spatially encompasses or includes another region within its boundaries.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddbbfae88190aa77f498dbb9edcb |
completed | April 19, 2026, 1:50 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:28 a.m.