Triple
T7670791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Silesian metropolitan area |
E173741
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Bytom |
E104306
|
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: Bytom | Statement: [Upper Silesian metropolitan area, hasMajorCity, Bytom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bytom Context triple: [Upper Silesian metropolitan area, hasMajorCity, Bytom]
-
A.
Bytom
chosen
Bytom is an industrial city in southern Poland’s Silesian region, known for its mining heritage and historical urban architecture.
-
B.
Borotiam
Borotiam is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
-
C.
Bori
Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
-
D.
Balya
Balya is a small town and district in western Turkey known historically for its mining activities and rural character.
-
E.
Taimani
Taimani are a sub-tribe of the Aimaq people of western Afghanistan, traditionally semi-nomadic and known for pastoralism and tribal social structures.
- 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_69c699562484819086752091e3164a27 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701dd3c808190990e07ced94b3297 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a229dd348190b9a781b4d34d7b5b |
completed | March 29, 2026, 3:53 a.m. |
Created at: March 27, 2026, 4 p.m.