Triple
T5896869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Son of Ra |
E131120
|
entity |
| Predicate | linkedConcept |
P37
|
FINISHED |
| Object | Maat |
E133376
|
NE 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: Maat | Statement: [Son of Ra, linkedConcept, Maat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maat Context triple: [Son of Ra, linkedConcept, Maat]
-
A.
Maat
chosen
Maat is the ancient Egyptian goddess and personification of truth, justice, balance, and cosmic order, central to both mythology and pharaonic law.
-
B.
Maatkare
Maatkare was the throne name of the ancient Egyptian pharaoh Hatshepsut, one of the most powerful and prominent female rulers of the New Kingdom.
-
C.
Sothis
Sothis is an ancient Egyptian goddess personifying the star Sirius, associated with the Nile’s inundation and often linked with the goddess Isis.
-
D.
Geb
Geb is the ancient Egyptian god of the earth, often depicted as a reclining man beneath the sky goddess Nut and associated with fertility, vegetation, and the underworld.
-
E.
MAAT
MAAT is a contemporary museum in Lisbon, Portugal, dedicated to exploring the intersection of visual arts, architecture, and technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00857439c819095950754176aa58a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c036f4b56c8190aa52c9460eae8fbe |
completed | March 22, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0b159cb908190b78b78d1e854212b |
completed | March 23, 2026, 3:19 a.m. |
Created at: March 22, 2026, 3:58 p.m.