Triple
T7878793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teshie |
E182924
|
entity |
| Predicate | celebrates |
P500
|
FINISHED |
| Object | Homowo |
E701105
|
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: Homowo | Statement: [Teshie, celebrates, Homowo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Homowo Context triple: [Teshie, celebrates, Homowo]
-
A.
Homowo
chosen
Homowo is a major traditional harvest festival of the Ga people of Ghana, marked by rituals, drumming, dancing, and the symbolic “hooting at hunger.”
-
B.
Homoine
Homoine is a town in southern Mozambique’s Inhambane Province, known primarily as a rural administrative and agricultural center.
-
C.
Unhos
Unhos is a civil parish in the municipality of Loures, within the Lisbon District of Portugal.
-
D.
Wormegay
Wormegay is a small rural village and civil parish in Norfolk, England, known for its agricultural landscape and historic setting near the River Great Ouse.
-
E.
Heno
Heno is a Welsh-language television magazine programme broadcast on S4C, featuring news, interviews, and cultural stories from across Wales.
- 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_69ca828a17248190b46defe758bc5ad3 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb39bd64e481909f699e7dd2818b8f |
completed | March 31, 2026, 3:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfa64c148190bf2b872bbfda1b3e |
completed | March 31, 2026, 2:52 p.m. |
Created at: March 30, 2026, 4:57 p.m.