Triple
T35790741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tic Tac (UFO) |
E1034684
|
entity |
| Predicate | officialStatusAsOf2024 |
P201480
|
FINISHED |
| Object | unexplained |
—
|
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: unexplained | Statement: [Tic Tac (UFO), officialStatusAsOf2024, unexplained]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: officialStatusAsOf2024 Context triple: [Tic Tac (UFO), officialStatusAsOf2024, unexplained]
-
A.
officialStatusStartYear
Indicates the year in which an entity first attained or began its official status or recognition.
-
B.
statusBy2020
Indicates the condition or state something had reached by the year 2020.
-
C.
hasOfficialNameStatus
Indicates that an entity’s official name is associated with a particular status or classification (e.g., current, former, provisional).
-
D.
hasUnofficialStatus
Indicates that an entity holds a status or recognition that is not formally authorized, sanctioned, or officially recognized.
-
E.
hasGovernmentalStatus
Indicates that an entity holds an official governmental role, recognition, or classification within a political or administrative system.
- 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_69f76e1575908190aaa306d843b41c14 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fff9b126b4819085a4cf8791d388d1 |
completed | May 10, 2026, 3:21 a.m. |
| PD | Predicate disambiguation | batch_69fff8f913a881908d3b7e490d92631f |
completed | May 10, 2026, 3:18 a.m. |
| PDg | Predicate description generation | batch_69fff9b0338c8190a24ed0b5dc9784b2 |
completed | May 10, 2026, 3:21 a.m. |
Created at: May 3, 2026, 4:06 p.m.