Triple
T25962209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umm al-Hasan bint al-Zubayr |
E645569
|
entity |
| Predicate | isFromPeriod |
P4343
|
FINISHED |
| Object | earlyIslamicPeriod |
—
|
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: earlyIslamicPeriod | Statement: [Umm al-Hasan bint al-Zubayr, isFromPeriod, earlyIslamicPeriod]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFromPeriod Context triple: [Umm al-Hasan bint al-Zubayr, isFromPeriod, earlyIslamicPeriod]
-
A.
isSetInTimePeriod
Indicates that an event, story, or situation takes place within a specified time period.
-
B.
notFromPeriod
Indicates that an entity does not originate from, belong to, or occur within a specified time period.
-
C.
hasPeriodRange
Indicates that there is a temporal span or interval during which something is valid, active, or applicable.
-
D.
refersToPeriod
chosen
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
E.
containsWorkFromPeriod
Indicates that something includes or features work that originates from a specified historical or temporal period.
- 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_69e77e85efc08190997da7fcf98bd300 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f604c70f208190a8154d17108e47d9 |
completed | May 2, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 8:47 a.m.