Triple
T1604595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greater Accra Region |
E34472
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Tema
Tema is a major port and industrial city on the Atlantic coast of Ghana, located east of the capital Accra.
|
E182923
|
NE FINISHED |
How this triple was built (4 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: [Greater Accra Region, containsCity, Tema]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tema Context triple: [Greater Accra Region, containsCity, Tema]
-
A.
Tevaram
Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
-
B.
Titel
Titel is a small town in northern Serbia, situated in the Vojvodina region along the Tisa River.
-
C.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
Nini
Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
-
E.
tet
tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tema Triple: [Greater Accra Region, containsCity, Tema]
Generated description
Tema is a major port and industrial city on the Atlantic coast of Ghana, located east of the capital Accra.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tema Target entity description: Tema is a major port and industrial city on the Atlantic coast of Ghana, located east of the capital Accra.
-
A.
Tevaram
Tevaram is a revered collection of early medieval Tamil devotional hymns dedicated to Lord Shiva, foundational to Tamil Shaivite bhakti tradition and liturgy.
-
B.
Titel
Titel is a small town in northern Serbia, situated in the Vojvodina region along the Tisa River.
-
C.
the T
The T is the public transit system serving the Greater Boston area, operated by the Massachusetts Bay Transportation Authority.
-
D.
Nini
Nini is one of the five Fuwa mascots of the 2008 Beijing Summer Olympics, inspired by a swallow and symbolizing good luck and the host city's culture.
-
E.
tet
tet is the ISO 639-1 language code for Tetum, an Austronesian language spoken primarily in East Timor.
- F. None of above. chosen
Provenance (5 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a9096a165c8190aec1d2ae6bd10e18 |
completed | March 5, 2026, 4:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad51bcdebc81909520786c560598b6 |
completed | March 8, 2026, 10:38 a.m. |
| NEDg | Description generation | batch_69ad52c9e3e8819094a91530ec91541c |
completed | March 8, 2026, 10:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad5330a9048190bd07e118c09d7eae |
completed | March 8, 2026, 10:45 a.m. |
Created at: March 4, 2026, 7:28 p.m.