Triple
T9889237
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spring Festival |
E181413
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Lunar New Year |
E181413
|
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: Lunar New Year | Statement: [Spring Festival, alsoKnownAs, Lunar New Year]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lunar New Year Context triple: [Spring Festival, alsoKnownAs, Lunar New Year]
-
A.
Spring Festival
chosen
The Spring Festival is the most important traditional Chinese New Year celebration, marked by family reunions, festive meals, cultural rituals, and the welcoming of the lunar new year.
-
B.
Saka New Year
Saka New Year is the Balinese Hindu lunar new year, observed with a day of silence, fasting, and meditation known as Nyepi.
-
C.
Lantern Festival
The Lantern Festival is a traditional Chinese celebration marking the end of Lunar New Year festivities, featuring lantern displays, riddle games, and communal gatherings.
-
D.
Têt
The Têt is a river in southern France that flows through the Pyrénées-Orientales department in the Occitanie region before reaching the Mediterranean Sea.
-
E.
Chūnxī Lù
Chūnxī Lù is a major commercial and shopping street in Chengdu, China, known for its bustling retail scene and modern urban atmosphere.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb47be2988190811a99dc56ae542a |
completed | April 2, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d20d888b408190a68ff55d63558478 |
completed | April 5, 2026, 7:21 a.m. |
Created at: March 30, 2026, 8:39 p.m.