Triple
T610390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore Ravens |
E12083
|
entity |
| Predicate | divisionTitlesThrough2023 |
P549
|
FINISHED |
| Object | multiple |
—
|
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: multiple | Statement: [Baltimore Ravens, divisionTitlesThrough2023, multiple]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionTitlesThrough2023 Context triple: [Baltimore Ravens, divisionTitlesThrough2023, multiple]
-
A.
divisionTitles
chosen
Indicates that an entity holds or is associated with one or more titles or championships within a specific division or category.
-
B.
teamDivisionOrEra
Indicates the specific division or historical era within which a team is categorized or competed.
-
C.
divisionTitle
Indicates the formal name or title assigned to a specific division within a larger organization or structure.
-
D.
divisionGamesPerSeason
Indicates the number of games played in a particular division during a single season.
-
E.
teamDivision
Indicates how a larger team is split into smaller subgroups or units for organization or collaboration.
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df68f2c8190a0ee9da4692b2a62 |
completed | March 1, 2026, 8:13 p.m. |
| PD | Predicate disambiguation | batch_69a49cfa7b4481909bec7a5fd3e98c65 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:35 p.m.