Triple
T13667237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple of Edfu |
E327152
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Edfu |
E296798
|
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: Edfu | Statement: [Temple of Edfu, locatedIn, Edfu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Edfu Context triple: [Temple of Edfu, locatedIn, Edfu]
-
A.
Edfu
chosen
Edfu is an ancient Egyptian city best known for its remarkably well-preserved Ptolemaic temple dedicated to the falcon god Horus.
-
B.
Dendera
Dendera is an ancient Egyptian town best known for the well-preserved Temple of Hathor and its rich archaeological remains along the Nile.
-
C.
Kom Ombo
Kom Ombo is an Egyptian town on the Nile best known for its unique double temple dedicated to the gods Sobek and Horus.
-
D.
Akhmim
Akhmim is an ancient city in Upper Egypt, historically known as a significant religious and cultural center with archaeological remains spanning Pharaonic, Greco-Roman, and Coptic periods.
-
E.
Karnak
Karnak is a Marvel Comics Inhuman philosopher-warrior known for his ability to perceive and exploit the weaknesses in any person, object, or system.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc623fcc88190bbad97541c040b7a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0cfe0c8190b0fe50931e9788cf |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.