Triple
T33467164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sebkay |
E857084
|
entity |
| Predicate | periodCharacteristic |
P114334
|
FINISHED |
| Object | time of decentralization in Egypt |
—
|
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: time of decentralization in Egypt | Statement: [Sebkay, periodCharacteristic, time of decentralization in Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodCharacteristic Context triple: [Sebkay, periodCharacteristic, time of decentralization in Egypt]
-
A.
periodCharacterizedBy
chosen
Indicates that a specific time period is defined or distinguished by a particular characteristic, condition, or feature.
-
B.
spanCharacteristic
Indicates that one entity has a particular measurable or descriptive property that characterizes the extent, duration, or range of another entity or phenomenon.
-
C.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
D.
seriesCharacteristic
Indicates that something is a defining feature, attribute, or property associated with a particular series.
-
E.
valueCharacteristic
Indicates that one entity serves as a value or specific quantitative/qualitative measure that characterizes or describes another entity.
- 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_69f34973461481909c701c98ebd75623 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f71fb1ab3881908e2f7c0e6f23db49 |
completed | May 3, 2026, 10:13 a.m. |
| PD | Predicate disambiguation | batch_69f71cc6397881909aaad37a9daa8a7e |
completed | May 3, 2026, 10 a.m. |
Created at: May 1, 2026, 1:37 a.m.