Triple
T15803365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lei |
E383148
|
entity |
| Predicate | isTranscribedInPinyinAs |
P41219
|
FINISHED |
| Object | Lei |
E383148
|
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: Lei | Statement: [Lei, isTranscribedInPinyinAs, Lei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lei Context triple: [Lei, isTranscribedInPinyinAs, Lei]
-
A.
Lei
chosen
Lei is a given name and surname of Chinese origin that can be used for people of any gender.
-
B.
Laleia
Laleia is a town in northern Timor-Leste known as the birthplace of independence leader and former president Xanana Gusmão.
-
C.
Lenaia
Lenaia was an ancient Athenian winter festival in honor of Dionysus, featuring dramatic competitions and celebrations of wine and fertility.
-
D.
Lolei
Lolei is an ancient temple in Cambodia’s Angkor region, known as one of the Roluos Group of early Khmer brick towers built during the late 9th century.
-
E.
Seia
Seia is a municipality and town in central Portugal known for its proximity to the Serra da Estrela mountains and natural park.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b524835c8190ae286b2562f07756 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90b4fe5881909471887219654d69 |
completed | May 9, 2026, 7:53 p.m. |
Created at: April 10, 2026, 4:48 a.m.