Triple
T29298991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vijay |
E742908
|
entity |
| Predicate | hasMassAppealIn |
P174219
|
FINISHED |
| Object | Tamil Nadu |
—
|
NE NERFINISHED |
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: Tamil Nadu | Statement: [Vijay, hasMassAppealIn, Tamil Nadu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMassAppealIn Context triple: [Vijay, hasMassAppealIn, Tamil Nadu]
-
A.
hasMassAppeal
chosen
Indicates that something possesses qualities or characteristics that attract or are appealing to a very large, broad, or general audience.
-
B.
hasAppealsTo
Indicates that one entity formally challenges or seeks review of a decision, judgment, or outcome through another entity or process.
-
C.
hasLevelOfAppealTo
Indicates the degree to which one entity is attractive, interesting, or compelling to another entity.
-
D.
hasEnduringAppeal
Indicates that something continues to attract interest, admiration, or enjoyment over a long period of time.
-
E.
handledAppeals
Indicates that one party has received, reviewed, and taken action on appeals submitted by another party.
- F. None of above.
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_69f0912323c48190b9a24ef8cf359225 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69ff32b88bf48190b45afd1b60cb511c |
completed | May 9, 2026, 1:12 p.m. |
| PD | Predicate disambiguation | batch_69ff3031e18881908927b2ab452de863 |
completed | May 9, 2026, 1:01 p.m. |
Created at: April 28, 2026, 1:08 p.m.