Triple
T903983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Simbel temples |
E19505
|
entity |
| Predicate | dedicatedTo |
P500
|
FINISHED |
| Object | goddess Isis |
E7084
|
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: goddess Isis | Statement: [Abu Simbel temples, dedicatedTo, goddess Isis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: goddess Isis Context triple: [Abu Simbel temples, dedicatedTo, goddess Isis]
-
A.
Isis
chosen
Isis is an ancient Egyptian goddess associated with magic, motherhood, healing, and protection, widely venerated throughout Egypt and the Greco-Roman world.
-
B.
Isis
Isis is the name given to the stretch of the River Thames that flows through Oxford, England.
-
C.
Hathor
Hathor is an ancient Egyptian goddess associated with love, music, motherhood, fertility, and joy, often depicted as a cow or a woman with cow horns and a sun disk.
-
D.
Neith
Neith is an ancient Egyptian goddess associated with war, hunting, and weaving, often revered as a creator deity and protector of Lower Egypt.
-
E.
Astarte
Astarte is an ancient Near Eastern goddess associated primarily with fertility, sexuality, and war, venerated across Canaanite, Phoenician, and later Mediterranean cultures.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad58334881908df191140b786780 |
completed | March 1, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7ee054c808190888594a6421c4b60 |
completed | March 4, 2026, 8:32 a.m. |
Created at: March 1, 2026, 7:39 p.m.