Triple
T24720397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | الراغب الأصفهاني |
E612276
|
entity |
| Predicate | الوفاة_تقريباً |
P28122
|
FINISHED |
| Object | حوالي 1100م تقريباً |
—
|
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: حوالي 1100م تقريباً | Statement: [الراغب الأصفهاني, الوفاة_تقريباً, حوالي 1100م تقريباً]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الوفاة_تقريباً Context triple: [الراغب الأصفهاني, الوفاة_تقريباً, حوالي 1100م تقريباً]
-
A.
deathApprox
chosen
Indicates that an entity’s death occurred at an approximate, rather than exact, time or date.
-
B.
diedShortlyBefore
Indicates that one entity’s death occurred a brief time before another specified event or entity’s death.
-
C.
deathIs
Indicates that one entity is the cause, manner, or circumstance of another entity’s death.
-
D.
nearlyDiesFrom
Indicates that an entity comes very close to dying as a result of another entity or event, but ultimately survives.
-
E.
deathPrecedes
Indicates that one entity’s death occurs earlier in time than another specified event or entity’s death.
- 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_69e2d7d6e7a48190bb43b0d8bb1137a0 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:40 a.m.