Triple
T12725494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tema |
E304094
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Tema Harbour |
E182928
|
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 Harbour | Statement: [Tema, hasPort, Tema Harbour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tema Harbour Context triple: [Tema, hasPort, Tema Harbour]
-
A.
Tema Harbour
chosen
Tema Harbour is a major seaport and industrial hub on Ghana’s Atlantic coast, serving as one of the country’s primary gateways for international maritime trade.
-
B.
Harborland
Harborland is a popular waterfront shopping and entertainment district in Kobe, Japan, known for its modern malls, restaurants, and scenic harbor views.
-
C.
The Harbour
The Harbour is a creative work by Croatian illustrator, animator, and filmmaker Milan Trenc, known for his distinctive, surreal visual style.
-
D.
HarbourFront
HarbourFront is a major waterfront district and transport hub in southern Singapore, known for its cruise centre, shopping malls, and gateway access to Sentosa Island.
-
E.
Harbourside
Harbourside is a residential neighborhood in the city of Irvine, California, known for its planned suburban layout and proximity to local amenities.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96415ebe48190ae935bc3a9b00f65 |
completed | April 10, 2026, 8:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c85c6b88190bbdd94a43915a7a4 |
completed | May 2, 2026, 10:36 p.m. |
Created at: April 9, 2026, 5:25 p.m.