Triple
T18305154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sword Lake |
E438464
|
entity |
| Predicate | hasTower |
P8955
|
FINISHED |
| Object | Tháp Rùa |
—
|
NE NERFINISHED |
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: Tháp Rùa | Statement: [Sword Lake, hasTower, Tháp Rùa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tháp Rùa Context triple: [Sword Lake, hasTower, Tháp Rùa]
-
A.
Tháp Rùa
chosen
Tháp Rùa is a small, historic tower situated on an islet in Hanoi’s Hoàn Kiếm Lake and is considered one of the city’s most iconic symbols.
-
B.
Uzina Pagoda
Uzina Pagoda is a notable Buddhist temple and pilgrimage site in Mawlamyine, Myanmar, recognized for its religious significance and hilltop views over the surrounding city and river.
-
C.
Chinese Tower
The Chinese Tower is a famous multi-story wooden pagoda-style structure and beer garden located within Munich’s Englischer Garten park.
-
D.
Co Le Pagoda
Co Le Pagoda is a historic Buddhist temple in Nam Dinh Province, Vietnam, renowned for its distinctive architecture and cultural significance.
-
E.
Du Hang Pagoda
Du Hang Pagoda is a historic Buddhist temple in Hai Phong, Vietnam, known for its traditional architecture, ancient statues, and tranquil courtyards.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5018256508190b024980e3a4a3ae9 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.