Triple
T26309382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ʿĀm al-Ḥuzn |
E661777
|
entity |
| Predicate | approximateIslamicYear |
P76570
|
FINISHED |
| Object | 10 BH |
—
|
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: 10 BH | Statement: [ʿĀm al-Ḥuzn, approximateIslamicYear, 10 BH]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approximateIslamicYear Context triple: [ʿĀm al-Ḥuzn, approximateIslamicYear, 10 BH]
-
A.
approximateYearInIslamicCalendar
chosen
Indicates that the associated year value is an estimated or non-exact year expressed in the Islamic (Hijri) calendar.
-
B.
hijriYear
Indicates the Hijri (Islamic lunar calendar) year associated with an event, date, or entity.
-
C.
positionInIslamicCalendar
Indicates the specific placement or ordering of a time point (such as a date or event) within the structure of the Islamic (Hijri) calendar.
-
D.
dayInIslamicCalendar
Indicates that a specific day corresponds to a particular date in the Islamic (Hijri) calendar.
-
E.
birthYearHijri
Indicates the year of an entity’s birth expressed in the Hijri (Islamic) calendar.
- 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_69ee812dacfc81908484aade9120fba9 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 26, 2026, 10:21 p.m.