Triple
T11766129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tama Cemetery Station |
E279785
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Tama Cemetery |
E57064
|
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: Tama Cemetery | Statement: [Tama Cemetery Station, namedAfter, Tama Cemetery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tama Cemetery Context triple: [Tama Cemetery Station, namedAfter, Tama Cemetery]
-
A.
Tama Cemetery
chosen
Tama Cemetery is one of Tokyo’s largest and most prominent public cemeteries, known for its expansive grounds, historical graves, and tranquil, park-like setting.
-
B.
Denman Cemetery
Denman Cemetery is a burial ground associated with the community of Denman, serving as a local historic and memorial site.
-
C.
Kaiapoi Cemetery
Kaiapoi Cemetery is a burial ground serving the town of Kaiapoi in the Waimakariri District of Canterbury, New Zealand.
-
D.
Cataraqui Cemetery
Cataraqui Cemetery is a historic burial ground in Kingston, Ontario, best known as the final resting place of Canada's first prime minister, Sir John A. Macdonald.
-
E.
Osu Cemetery
Osu Cemetery is a historic burial ground in the Osu district of Accra, Ghana, known for its colonial-era graves and cultural significance.
- 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_69d6ab01d2688190ad8ed6bda487eaa5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a525948081908af62cc5d4c7c482 |
completed | April 10, 2026, 7:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f16695479c819082c6ab12657a2d5f |
completed | April 29, 2026, 2:01 a.m. |
Created at: April 8, 2026, 9:41 p.m.