Triple
T6177937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Region |
E137865
|
entity |
| Predicate | largestCity |
P235
|
FINISHED |
| Object | Tamale |
E574512
|
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: Tamale | Statement: [Northern Region, largestCity, Tamale]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tamale Context triple: [Northern Region, largestCity, Tamale]
-
A.
Tamale
chosen
Tamale is the largest city in northern Ghana and a major administrative, commercial, and cultural hub for the surrounding region.
-
B.
Menudo
Menudo was a hugely popular Puerto Rican boy band formed in the late 1970s, known for its rotating lineup of young male singers and for launching the careers of several Latin pop stars.
-
C.
Pastida
Pastida is a small village on the Greek island of Rhodes, situated inland near the town of Ialysos and known for its traditional character and proximity to the island’s main tourist areas.
-
D.
TACO
TACO is a peer-reviewed scientific journal published by the ACM that focuses on research in computer architecture and code optimization.
-
E.
Tejipió
Tejipió is a neighborhood in the city of Recife, Brazil, known as part of the urban fabric of the state capital of Pernambuco.
- 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_69c008a80f748190ba3d07ffc81acb29 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05dc9f3d88190ab46b3b246f5a8df |
completed | March 22, 2026, 9:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16ef0f76881909d678010d0c064e7 |
completed | March 23, 2026, 4:48 p.m. |
Created at: March 22, 2026, 4:18 p.m.