Triple
T5509598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper West Region |
E144529
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Wa |
E528353
|
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: Wa | Statement: [Upper West Region, hasSettlement, Wa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wa Context triple: [Upper West Region, hasSettlement, Wa]
-
A.
Wa
chosen
Wa is a town in northwestern Ghana that serves as an administrative, commercial, and cultural hub for the surrounding region.
-
B.
Wat
Wat is a medieval English diminutive form of the given name Walter, historically used as a familiar or nickname.
-
C.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
-
D.
W
The W is a local New York City Subway service that runs on the BMT Broadway Line in Manhattan and Queens, typically operating on weekdays.
-
E.
wal
"wal" is the ISO 639-2 language code for Wolaytta, an Omotic language spoken primarily in southwestern Ethiopia.
- 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_69c008f6b5048190a09064116062cf69 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f4ba90c8190ad22e5de84c545f9 |
completed | March 22, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c059ce87448190ac88e79ed4c0f47b |
completed | March 22, 2026, 9:06 p.m. |
Created at: March 22, 2026, 3:33 p.m.