Triple
T9793216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atripé |
E237654
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Panopolis |
E469768
|
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: Panopolis | Statement: [Atripé, near, Panopolis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Panopolis Context triple: [Atripé, near, Panopolis]
-
A.
Panopolis
chosen
Panopolis was an important ancient Egyptian city in the Thebaid region, known as a regional administrative and religious center.
-
B.
Axiopolis
Axiopolis was an ancient Roman town and military stronghold on the lower Danube, in the province of Moesia.
-
C.
Dorian Hexapolis
Dorian Hexapolis was a confederation of six ancient Dorian Greek cities that formed a religious and political league centered around shared cults and festivals.
-
D.
Cynopolis
Cynopolis was an ancient Egyptian city renowned as a major cult center dedicated to the jackal-headed god Anubis and associated with funerary rites and mummification.
-
E.
Hydropolis
Hydropolis is an interactive science center and exhibition space in Wrocław, Poland, dedicated to exploring water from scientific, environmental, and cultural perspectives.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda346945481908c2698a79c578ef5 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c4368da88190a70e93ec4d6bef93 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:28 p.m.