Triple
T3159859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iyar |
E66075
|
entity |
| Predicate | positionInCivilYear |
P46420
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Iyar, positionInCivilYear, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionInCivilYear Context triple: [Iyar, positionInCivilYear, 8]
-
A.
positionInGregorianCalendar
Indicates the specific placement or ordering of a time-related entity within the structure of the Gregorian calendar.
-
B.
positionInRomanCalendar
Indicates the ordinal placement or rank that something occupies within the sequence of months or days in the Roman calendar.
-
C.
positionInEra
Indicates the temporal placement or role of something within a specific historical or chronological era.
-
D.
positionInHebrewCalendar
Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Hebrew calendar.
-
E.
yearInFrenchRepublicanCalendar
Indicates the specific year of an event or entity as expressed in the French Republican calendar system.
- 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_69ad85850c1481908a9e9c6242238de2 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada61606bc8190a8ad760d680924eb |
completed | March 8, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ad9dfe0a948190928f2201d671c654 |
completed | March 8, 2026, 4:04 p.m. |
| PDg | Predicate description generation | batch_69ada148e9108190b363dd0f1a94ac8e |
completed | March 8, 2026, 4:18 p.m. |
Created at: March 8, 2026, 3:05 p.m.