Triple
T12626315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mano River Union |
E301522
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object | Freetown |
E70581
|
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: Freetown | Statement: [Mano River Union, headquartersLocation, Freetown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Freetown Context triple: [Mano River Union, headquartersLocation, Freetown]
-
A.
Freetown
chosen
Freetown is the capital and largest city of Sierra Leone, known as a historic port and former center for resettled freed slaves in West Africa.
-
B.
Freetown
Freetown is a historic rural town in Bristol County, southeastern Massachusetts, known for its forests, ponds, and the reputedly haunted Freetown-Fall River State Forest.
-
C.
Monrovia
Monrovia is the largest city and main economic and administrative center of Liberia, located on the Atlantic coast in West Africa.
-
D.
Monrovia
Monrovia is a city in Los Angeles County, California, located in the San Gabriel Valley at the foothills of the San Gabriel Mountains.
-
E.
Sekondi Harbour
Sekondi Harbour is a seaport in Sekondi-Takoradi, Ghana, serving as an important hub for maritime trade and regional shipping.
- 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_69d7bdeaf49c8190b13800111fa77ea3 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9610b91dc8190a9abefb88447b0ae |
completed | April 10, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f65ed8d81c8190baed4292ce3a74a1 |
completed | May 2, 2026, 8:30 p.m. |
Created at: April 9, 2026, 5:14 p.m.