Triple
T2679683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ankh |
E56544
|
entity |
| Predicate | associatedWithDeity |
P1481
|
FINISHED |
| Object | Amun |
E73145
|
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: Amun | Statement: [ankh, associatedWithDeity, Amun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amun Context triple: [ankh, associatedWithDeity, Amun]
-
A.
Amun
chosen
Amun is a major ancient Egyptian deity, often associated with the sun and creation and later merged with Ra as Amun-Ra, who became one of the chief gods of the Egyptian pantheon.
-
B.
Khonsu
Khonsu is an ancient Egyptian lunar god associated with time, healing, and protection, often worshipped as the son of Amun and Mut.
-
C.
Ptah
Ptah is an important ancient Egyptian creator god and patron of craftsmen and architects, especially revered as the chief deity of Memphis.
-
D.
Khnum
Khnum is an ancient Egyptian ram-headed god associated with the Nile’s inundation, creation, and the molding of human beings on a potter’s wheel.
-
E.
Montu
Montu is an inverted steel roller coaster at Busch Gardens Tampa Bay known for its intense Egyptian-themed layout and multiple inversions.
- 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_69ab4a4b13fc81909dfdb3f23da46832 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd9d36ea8819094ada73d86ffaa8b |
completed | March 7, 2026, 7:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb679d5bc8190b2dd4edeaf09b1e7 |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:54 p.m.