Triple
T11501125
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LLBG |
E272664
|
entity |
| Predicate | hasVIPServices |
P99821
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [LLBG, hasVIPServices, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVIPServices Context triple: [LLBG, hasVIPServices, yes]
-
A.
hasVIPBoxes
Indicates that an entity provides or contains VIP boxes as part of its facilities or offerings.
-
B.
hasVIPGondola
Indicates that something includes or is equipped with a special VIP gondola as part of its features or configuration.
-
C.
VIPStatus
Indicates that an entity holds a special or privileged status compared to others, often granting enhanced access, benefits, or priority treatment.
-
D.
hasServiceTo
Indicates that one entity provides, offers, or operates a service for or directed toward another entity.
-
E.
hasVIPTerminal
Indicates that one entity possesses or provides access to a VIP (very important person) terminal associated with another 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d85de3e9c881909d6c55334f7a832d |
completed | April 10, 2026, 2:18 a.m. |
| PD | Predicate disambiguation | batch_69d808736c5c8190899b5b3b2e797f65 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.