Triple
T4080488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Very Large Array |
E87465
|
entity |
| Predicate | offersPublicTours |
P6209
|
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: [Very Large Array, offersPublicTours, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersPublicTours Context triple: [Very Large Array, offersPublicTours, yes]
-
A.
offersTours
chosen
Indicates that one entity provides or makes available guided tours or tour services to another entity.
-
B.
hasTouristRoute
Indicates that a location or site is connected to or included in a designated tourist route or itinerary.
-
C.
hasTour
Indicates that an entity offers, includes, or is associated with a tour experience or guided visit.
-
D.
hasTourismFunction
Indicates that an entity serves a role or purpose related to tourism, such as attracting, accommodating, or providing services to tourists.
-
E.
isPublicMuseum
Indicates that an institution operates as a museum that is open and accessible to the general public, typically under public or non-profit ownership or management.
- 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_69aed9435cf48190ad1da737c962d19d |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc5204d881909829de15015aa50d |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.