Triple
T34883128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eritrean Orthodox liturgical year |
E1006066
|
entity |
| Predicate | hasMajorSeason |
P1190
|
FINISHED |
| Object | Great Lent |
E7469
|
NE 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: Great Lent | Statement: [Eritrean Orthodox liturgical year, hasMajorSeason, Great Lent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorSeason Context triple: [Eritrean Orthodox liturgical year, hasMajorSeason, Great Lent]
-
A.
hasSeason
Indicates that an entity possesses, occurs during, or is associated with a particular season or set of seasons.
-
B.
hasImportantSeason
chosen
Indicates that an entity experiences a particular season or time period that is especially significant or notable for it.
-
C.
hasSeasonType
Indicates that something is associated with a particular category or type of season (e.g., summer, winter, rainy).
-
D.
hasMajor
Indicates that an entity (typically a person or student) has a specific primary field of academic study or specialization.
-
E.
hasPrimaryAccessSeason
Indicates the main or most significant time period during which access to something is allowed or typically occurs.
- F. None of above.
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_69f76dbedb288190afe5780710847410 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a01ccd995e48190b6675e463bd0a567 |
completed | May 11, 2026, 12:34 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3786d762f881909d411769af9ca5e9 |
completed | June 21, 2026, 6:38 a.m. |
| PD | Predicate disambiguation | batch_6a01cc33177c8190bc0703276618b3ec |
completed | May 11, 2026, 12:31 p.m. |
Created at: May 3, 2026, 4 p.m.