Triple
T19726259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neferneferuaten |
E473734
|
entity |
| Predicate | regnalLength |
P89814
|
FINISHED |
| Object | very short reign (probably a few years or less) |
—
|
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: very short reign (probably a few years or less) | Statement: [Neferneferuaten, regnalLength, very short reign (probably a few years or less)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regnalLength Context triple: [Neferneferuaten, regnalLength, very short reign (probably a few years or less)]
-
A.
lengthRegime
chosen
Indicates a specific range or category of length within which something operates, is measured, or is classified.
-
B.
archLength
Indicates the measured length of an arch-shaped structure or path between two defined points.
-
C.
earLength
Indicates the length of an entity’s ear(s), typically as a measurable physical attribute.
-
D.
dimensionOfLength
Indicates that something represents or specifies a measurement along a single spatial extent (a length dimension).
-
E.
armLength
Indicates that one entity’s arm has a specified length or that there is a measured distance corresponding to the length of an arm.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f7bedc81908f784832c0fc10a1 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e5304a7aac8190ac13f75f0c008e45 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:46 p.m.