Triple
T35173013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sewadjkare XLV |
E1015600
|
entity |
| Predicate | periodPrecededBy |
P96058
|
FINISHED |
| Object | late Middle Kingdom of Egypt |
—
|
NE NERFINISHED |
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: late Middle Kingdom of Egypt | Statement: [Sewadjkare XLV, periodPrecededBy, late Middle Kingdom of Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: periodPrecededBy Context triple: [Sewadjkare XLV, periodPrecededBy, late Middle Kingdom of Egypt]
-
A.
oftenPrecededBy
Indicates that one event, state, or item commonly occurs or appears before another in time or sequence.
-
B.
previousPeriod
chosen
Indicates that one time period directly precedes another in a sequence of periods.
-
C.
wasPrecededBy
Indicates that one event, state, or entity occurred or existed earlier in time than another.
-
D.
cyclePrecededBy
Indicates that one cycle occurs earlier in sequence or time than another specified cycle.
-
E.
precedesDisc
Indicates that one discourse segment or unit occurs before another in the sequence of discourse.
- 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_69f76ddcc108819097f96853b7ed9ef4 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f79533b88c8190934ec4cb21770e24 |
completed | May 3, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f79104f5b48190a496cdffde8472da |
completed | May 3, 2026, 6:16 p.m. |
Created at: May 3, 2026, 4:02 p.m.