Triple
T19719670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joseph Bau |
E473570
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bau |
—
|
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: Bau | Statement: [Joseph Bau, familyName, Bau]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bau Context triple: [Joseph Bau, familyName, Bau]
-
A.
Bau
chosen
Bau is a Mesopotamian goddess primarily associated with healing, protection, and the city of Lagash.
-
B.
Bauko
Bauko is a municipality in the Cordillera region of the northern Philippines known for its mountainous terrain, indigenous culture, and agricultural communities.
-
C.
Baure
Baure is an indigenous Arawakan language of Bolivia, traditionally spoken in the Beni region by the Baure people.
-
D.
Benbaun
Benbaun is a prominent mountain in Connemara, County Galway, Ireland, known as the tallest peak in the Twelve Bens range and a popular destination for hikers.
-
E.
Bumehen
Bumehen is a city in Iran that serves as one of the urban settlements within Pardis County, near Tehran.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e64410e5548190b60e13603b6c0053 |
completed | April 20, 2026, 3:19 p.m. |
Created at: April 10, 2026, 1:46 p.m.