Triple
T37599671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2022 Call of Duty League season |
E935488
|
entity |
| Predicate | mapTypes |
P188748
|
FINISHED |
| Object | Hardpoint |
—
|
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: Hardpoint | Statement: [2022 Call of Duty League season, mapTypes, Hardpoint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mapTypes Context triple: [2022 Call of Duty League season, mapTypes, Hardpoint]
-
A.
mapsType
Indicates that one entity serves as a mapping whose values or outputs are of the specified type.
-
B.
mappingType
Indicates the specific kind or category of correspondence established between two related elements or representations.
-
C.
mapsIncluded
Indicates that one map or mapping is contained within, or is a subset of, another map or mapping.
-
D.
mapsIn
Indicates that one entity is contained or represented within another entity as part of a mapping or map-like relationship.
-
E.
mapTheme
Indicates a thematic relationship where a map is associated with, organized by, or visually represents a particular theme or subject.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
| PDg | Predicate description generation | batch_69fbacaea12c8190a4c99e64335f0e7e |
completed | May 6, 2026, 9:03 p.m. |
Created at: May 3, 2026, 4:18 p.m.