Triple
T17939454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tihar |
E448548
|
entity |
| Predicate | day5MainSymbol |
P129802
|
FINISHED |
| Object | multi-colored tika |
—
|
LITERAL 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: multi-colored tika | Statement: [Tihar, day5MainSymbol, multi-colored tika]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: day5MainSymbol Context triple: [Tihar, day5MainSymbol, multi-colored tika]
-
A.
day5Form
Indicates that an entity is associated with or presented in a specific "day 5" form, version, or configuration within a sequence or process.
-
B.
dayName5
Indicates that an entity is identified specifically as the name of the fifth day of the week in a given calendar or context.
-
C.
day1Name
Indicates the name or label assigned to the first day in a sequence or schedule.
-
D.
dayType
Indicates the classification or category of a given day based on its characteristics or role (e.g., weekday, weekend, holiday).
-
E.
majorDay
Indicates that a particular day holds primary or special significance in relation to an event, schedule, or entity.
- F. None of above. chosen
Provenance (4 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad9533688190bff773c183ed8505 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8e713d481908b4a126258c18b63 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.