Triple
T6045179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zhang Fakui |
E134648
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Fakui (Fàkuí) |
E134648
|
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: Fakui (Fàkuí) | Statement: [Zhang Fakui, givenName, Fakui (Fàkuí)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fakui (Fàkuí) Context triple: [Zhang Fakui, givenName, Fakui (Fàkuí)]
-
A.
Fakui
chosen
Fakui is the given name of Zhang Fakui, a notable Chinese military figure.
-
B.
Fajia
Fajia is the Chinese philosophical school of Legalism, which emphasizes strict laws, centralized authority, and pragmatic governance to maintain social order.
-
C.
Fuchū
Fuchū is a city in western Tokyo, Japan, known as an administrative and commercial center in the Tama region.
-
D.
Fagasa
Fagasa is a coastal village on the island of Tutuila in American Samoa, known for its scenic bay and surrounding rainforest-covered hills.
-
E.
Fusokyo
Fusokyo is a component or subdivision within Sect Shinto, a branch of Shinto characterized by organized religious groups with distinct doctrines and practices.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e41f98819089c205ba6138faf0 |
completed | March 22, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d01aa208190a9c630780f5b9851 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:09 p.m.