Triple
T13256593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vehicle Assembly Building |
E315672
|
entity |
| Predicate | hasHighBay |
P109176
|
FINISHED |
| Object | High Bay 2 |
E315674
|
NE 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: High Bay 2 | Statement: [Vehicle Assembly Building, hasHighBay, High Bay 2]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Bay 2 Context triple: [Vehicle Assembly Building, hasHighBay, High Bay 2]
-
A.
High Bay 2
chosen
High Bay 2 is one of the large internal bays within NASA’s Vehicle Assembly Building used for stacking and processing launch vehicles.
-
B.
High Bay 3
High Bay 3 is one of the large internal bays within NASA’s Vehicle Assembly Building used for stacking and preparing launch vehicles.
-
C.
High Bay 4
High Bay 4 is one of the large internal bays within NASA’s Vehicle Assembly Building used for assembling and processing launch vehicles and spacecraft.
-
D.
High Bay 1
High Bay 1 is one of the large internal bays within NASA’s Vehicle Assembly Building used for stacking and preparing launch vehicles.
-
E.
The Bay 101
The Bay 101 is a popular waterfront complex in Busan’s Haeundae area, known for its yacht marina, dining options, and night views of the city skyline.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadcd4cb008190af99c4856e76ac08 |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4240d881909f0ee898fd272826 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:24 p.m.