Triple
T15489911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pennut |
E378652
|
entity |
| Predicate | archaeologicalSite |
P1098
|
FINISHED |
| Object | Aniba |
E378651
|
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: Aniba | Statement: [Pennut, archaeologicalSite, Aniba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aniba Context triple: [Pennut, archaeologicalSite, Aniba]
-
A.
Aniba
chosen
Aniba was an ancient Nubian settlement in Lower Nubia that served as an important Egyptian administrative and military center, especially during the Middle and New Kingdoms.
-
B.
Abanilla
Abanilla is a municipality in the Region of Murcia in southeastern Spain, known for its traditional agriculture and historic religious festivities.
-
C.
Mussaenda
Mussaenda is a genus of tropical flowering shrubs and small trees known for their showy, brightly colored bracts that resemble petals.
-
D.
Bansberia
Bansberia is a historic town in West Bengal, India, known for its terracotta temples and riverside location along the Hooghly River.
-
E.
Shimea
Shimea is a biblical figure mentioned in the Hebrew Bible as one of King David’s brothers.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fac2af88190ac1d119e6b21dbe0 |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3d4661088190bb53161247effcc4 |
completed | May 9, 2026, 1:57 p.m. |
Created at: April 10, 2026, 3:48 a.m.