Triple
T2712411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bight of Benin |
E59892
|
entity |
| Predicate | hasCoastalCity |
P969
|
FINISHED |
| Object | Tema |
E182923
|
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: Tema | Statement: [Bight of Benin, hasCoastalCity, Tema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tema Context triple: [Bight of Benin, hasCoastalCity, Tema]
-
A.
Tema
chosen
Tema is a major port and industrial city on the Atlantic coast of Ghana, located east of the capital Accra.
-
B.
Tema
Tema is a biblical figure mentioned in the Old Testament, traditionally regarded as a descendant of Ishmael and associated with a region or tribe in northwestern Arabia.
-
C.
Tevaram
Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
-
D.
Titel
Titel is a small town in northern Serbia, situated in the Vojvodina region along the Tisa River.
-
E.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
- 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_69ab4ac92a088190bc74bca14038e3de |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda90d5a88190bcb6caefd8f2dd1b |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf83e37c8190b7a7815f8acf3a4b |
completed | March 10, 2026, 5:43 a.m. |
Created at: March 6, 2026, 9:55 p.m.