Triple
T3670072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amarna letters |
E77856
|
entity |
| Predicate | correspondenceBetween |
P4768
|
FINISHED |
| Object | Egyptian royal court and foreign great kings |
—
|
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: Egyptian royal court and foreign great kings | Statement: [Amarna letters, correspondenceBetween, Egyptian royal court and foreign great kings]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: correspondenceBetween Context triple: [Amarna letters, correspondenceBetween, Egyptian royal court and foreign great kings]
-
A.
correspondedWith
chosen
Indicates that two entities engaged in mutual communication, typically by exchanging messages or letters over a period of time.
-
B.
relatedLetter
Indicates that one letter has a specified connection or association to another letter.
-
C.
compactCaseCorrespondsTo
Indicates that a compact or abbreviated form of a case corresponds to, or is equivalent to, a fuller or standard representation of that case.
-
D.
partiallyCorrespondsTo
Indicates that one entity matches or aligns with another entity only in some aspects, segments, or components, rather than fully or exactly.
-
E.
bilateralRelation
Indicates a mutual or two-way relationship between two entities, where each affects or interacts with the other.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42b3f94819091d51e488bc3f2f2 |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.