Triple
T14696791
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hong |
E345182
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object | Ang |
E763128
|
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: Ang | Statement: [Hong, hasVariantForm, Ang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ang Context triple: [Hong, hasVariantForm, Ang]
-
A.
Ang
chosen
Ang is a casual nickname commonly used for the given name Angela.
-
B.
Ain
Ain is the station code for Ainola railway station, a local rail stop in Finland associated with the home of composer Jean Sibelius.
-
C.
Ain
Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
-
D.
Anua
Anua is a locality within the Pago Pago urban area in American Samoa.
-
E.
Una
Una is a town in the Gir Somnath district of Gujarat, India, known as a local commercial and transportation hub near the Saurashtra coast.
- 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb58855e081908b38f9515db5677f |
completed | April 14, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde19040e0819099159ed2609c6965 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:28 a.m.