Triple
T3663486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amenhotep II |
E77704
|
entity |
| Predicate | builtAt |
P283
|
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: [Amenhotep II, builtAt, Amada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amada Context triple: [Amenhotep II, builtAt, 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.
Bradina
Bradina is a small village in central Bosnia and Herzegovina, historically notable as the birthplace of Croatian fascist leader Ante Pavelić.
-
C.
Mella
Mella is a Spanish-language surname most notably associated with Cuban revolutionary leader Julio Antonio Mella.
-
D.
Adailiya
Adailiya is a residential district in Kuwait City known for its embassies, sports facilities, and central location within the capital.
-
E.
Sanchica
Sanchica is the fictional daughter of Sancho Panza in Miguel de Cervantes' novel "Don Quixote."
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3fcd910819082012b10b23860aa |
completed | March 8, 2026, 6:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48848be788190acde46880918d36b |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.