Triple
T11516072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wapama |
E273033
|
entity |
| Predicate | shipName |
P14494
|
FINISHED |
| Object | Wapama |
E273033
|
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: Wapama | Statement: [Wapama, shipName, Wapama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wapama Context triple: [Wapama, shipName, Wapama]
-
A.
Wapama
chosen
Wapama was a historic wooden steam schooner built in 1915 that served the West Coast lumber trade and later became a preserved museum ship in San Francisco before being dismantled.
-
B.
Waipawa
Waipawa is a small rural service town in New Zealand’s Hawke’s Bay region, known for its agricultural surroundings and historic character.
-
C.
Waibakul
Waibakul is a town on the island of Sumba in Indonesia that serves as the administrative and political center of Central Sumba Regency.
-
D.
Nakaseke
Nakaseke is a district in central Uganda that lies within the traditional kingdom of Buganda.
-
E.
Piranga
Piranga is a genus of brightly colored New World songbirds in the cardinal family, commonly known as tanagers.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d87fcc72a48190b81acedfcc8685d3 |
completed | April 10, 2026, 4:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e625143a608190a1119b30c08df0fd |
completed | April 20, 2026, 1:07 p.m. |
Created at: April 8, 2026, 9:36 p.m.