Triple
T2697472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennead of Heliopolis |
E58544
|
entity |
| Predicate | cosmicElementRepresented |
P39089
|
FINISHED |
| Object | earth (Geb) |
E59547
|
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: earth (Geb) | Statement: [Ennead of Heliopolis, cosmicElementRepresented, earth (Geb)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: earth (Geb) Context triple: [Ennead of Heliopolis, cosmicElementRepresented, earth (Geb)]
-
A.
Maa
Maa is a Nilotic language spoken primarily by the Maasai people of Kenya and Tanzania.
-
B.
Zemin
Zemin is a Chinese given name notably borne by Mao Zemin, a revolutionary and younger brother of Mao Zedong.
-
C.
Yadamah
Yadamah is a town in southwestern Saudi Arabia located within the Najran Region near the border with Yemen.
-
D.
Geb
chosen
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.
Terra
Terra is a sustainability-themed character created as one of the official mascots for Expo 2020 Dubai, symbolizing environmental awareness and ecological responsibility.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abdd1e80dc819083e04e1427d187d0 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf6d9d9c81908c7c1bcdfb7810f0 |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.