Triple
T28225589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hammudid dynasty |
E711575
|
entity |
| Predicate | firstCaliphateYearInCórdoba |
P32647
|
FINISHED |
| Object | 1016 |
—
|
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: 1016 | Statement: [Hammudid dynasty, firstCaliphateYearInCórdoba, 1016]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCaliphateYearInCórdoba Context triple: [Hammudid dynasty, firstCaliphateYearInCórdoba, 1016]
-
A.
caliphateStart
chosen
Indicates the point in time or event at which a particular caliphate begins or is established.
-
B.
caliphateStartApprox
Indicates that an entity’s role or status as a caliphate began around an approximate (not exact) starting time.
-
C.
firstCaliphInstalled
Indicates that the subject is the first caliph who was formally installed or appointed to the position over the object (e.g., a community, state, or domain).
-
D.
proclaimedCaliphYear
Indicates the year in which an individual was formally proclaimed or recognized as caliph.
-
E.
yearOfMeccaCapture
Indicates the specific year in which the event of capturing Mecca took place.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
Created at: April 27, 2026, 10:49 p.m.