Triple
T17309694
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amada temple |
E420261
|
entity |
| Predicate | ancientName |
P2834
|
FINISHED |
| Object | Amada |
E66183
|
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: Amada | Statement: [Amada temple, ancientName, Amada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amada Context triple: [Amada temple, ancientName, Amada]
-
A.
Amada
chosen
Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
-
B.
Mado
Mado is a French film written by Gérard Brach, known as one of his notable screenwriting works.
-
C.
Gomeisa
Gomeisa is the second-brightest star in the constellation Canis Minor, known as a hot, blue-white main-sequence star visible to the naked eye.
-
D.
Nohra
Nohra is a small municipality in the Weimarer Land district of the German state of Thuringia.
-
E.
Milina
Milina is a seaside village in the Pelion region of central Greece, known for its tranquil beaches and views across the Pagasetic Gulf.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e439970cf08190bc9e49ba830da0d9 |
completed | April 19, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0180e30934819087b7c838c8874aff |
completed | May 11, 2026, 7:10 a.m. |
Created at: April 10, 2026, 5:43 a.m.