Triple
T24390554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ankhnesneferibre |
E614877
|
entity |
| Predicate | officeCharacteristic |
P128001
|
FINISHED |
| Object | adoptive succession |
—
|
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: adoptive succession | Statement: [Ankhnesneferibre, officeCharacteristic, adoptive succession]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officeCharacteristic Context triple: [Ankhnesneferibre, officeCharacteristic, adoptive succession]
-
A.
estateCharacteristic
Indicates that an estate possesses a particular attribute, quality, or defining feature.
-
B.
domainCharacteristic
Indicates that a domain or area of interest possesses a particular characteristic or defining property.
-
C.
entityCharacteristic
chosen
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
D.
managementCharacteristic
Indicates a defining quality, style, or attribute associated with how something is managed or administered.
-
E.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
- 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_69e2d7e509b88190a53155d4f3de45ce |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2945878b481909cca6def7b64b42c |
completed | April 29, 2026, 11:29 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:04 a.m.