Triple
T2499168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sahure |
E52420
|
entity |
| Predicate | causewayDecoratedWith |
P23430
|
FINISHED |
| Object | reliefs of naval and trade expeditions |
—
|
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: reliefs of naval and trade expeditions | Statement: [Sahure, causewayDecoratedWith, reliefs of naval and trade expeditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causewayDecoratedWith Context triple: [Sahure, causewayDecoratedWith, reliefs of naval and trade expeditions]
-
A.
adornedWith
chosen
Indicates that one entity is decorated, embellished, or ornamented by another entity.
-
B.
hasBalustrades
Indicates that one entity features or is equipped with balustrades as part of its structure or design.
-
C.
hasColonnade
Indicates that one entity features or is characterized by a colonnade in relation to another entity.
-
D.
pavedWith
Indicates that a surface or area is covered or constructed using a specified material as its paving.
-
E.
hasCeilingDecoration
Indicates that an entity features or is adorned with a decorative element on its ceiling.
- 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_69ab4957b3a88190adf968ae0c1b931c |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd1afd86c81909181c4b45d4f8bc5 |
completed | March 7, 2026, 7:20 a.m. |
| PD | Predicate disambiguation | batch_69abd0bba5348190bb4637d3165cb339 |
completed | March 7, 2026, 7:16 a.m. |
Created at: March 6, 2026, 9:46 p.m.