Triple
T12103646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-Group |
E288247
|
entity |
| Predicate | hasTypeSite |
P44791
|
FINISHED |
| Object | Sayala |
E965380
|
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: Sayala | Statement: [A-Group, hasTypeSite, Sayala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sayala Context triple: [A-Group, hasTypeSite, Sayala]
-
A.
Sayala
chosen
Sayala was an important settlement and administrative center associated with the ancient Nubian A-Group culture in Lower Nubia.
-
B.
Salala
Salala is a town in central Liberia that serves as an important local hub within Bong County.
-
C.
Salayea
Salayea is a town in northwestern Liberia located within Lofa County.
-
D.
Sihala
Sihala is a settlement in Pakistan located near the Soan River, known primarily for its proximity to this important waterway in the region.
-
E.
Comala
Comala is the haunting, ghostly Mexican town that serves as the central setting of Juan Rulfo’s novel "Pedro Páramo."
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915568b9881909fc9edacefb86409 |
completed | April 10, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60a7330c481909e06468be517cf5f |
completed | May 2, 2026, 2:30 p.m. |
Created at: April 8, 2026, 9:48 p.m.