Triple
T24406564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian state establishment |
E615326
|
entity |
| Predicate | continuityAcross |
P26885
|
FINISHED |
| Object | Nasser presidency |
—
|
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: Nasser presidency | Statement: [Egyptian state establishment, continuityAcross, Nasser presidency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: continuityAcross Context triple: [Egyptian state establishment, continuityAcross, Nasser presidency]
-
A.
continuityFrom
chosen
Indicates that one entity continues, extends, or proceeds directly from another in a seamless or unbroken manner.
-
B.
continuityFeature
Indicates that one entity serves as a continuity-related element (such as a transition, connector, or linking feature) that maintains or supports an ongoing, coherent relationship between two points, states, or segments.
-
C.
continuityType
Indicates the specific manner or pattern in which continuity is maintained or transitions occur between related elements or states.
-
D.
continuityRelation
Indicates a relationship where one entity directly follows, extends, or maintains an unbroken connection with another in space, time, or logical sequence.
-
E.
continuityInfluenceOn
Indicates how one entity’s continuity, consistency, or ongoing state affects or shapes 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_69e2d7e780bc81908049c779e697a7f6 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f294dfd8d88190b831b6a8f4157980 |
completed | April 29, 2026, 11:31 p.m. |
| PD | Predicate disambiguation | batch_69f287c4a2b48190b80fb7a3c0e9b018 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2:05 a.m.