Triple
T3873620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virginia Zoo |
E92444
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Virginia Zoo |
E92444
|
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: Virginia Zoo | Statement: [Virginia Zoo, name, Virginia Zoo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Virginia Zoo Context triple: [Virginia Zoo, name, Virginia Zoo]
-
A.
Virginia Zoo
chosen
The Virginia Zoo is a zoological park in Norfolk, Virginia, featuring diverse animal exhibits, conservation programs, and family-oriented educational experiences.
-
B.
John Ball Zoo
John Ball Zoo is a popular mid-sized zoological park and educational attraction located in Grand Rapids, Michigan.
-
C.
Jackson Zoo
Jackson Zoo is a long-standing zoological park in Jackson, Mississippi, featuring a variety of animal exhibits and conservation-focused educational programs.
-
D.
North Carolina Zoo
The North Carolina Zoo is a large, natural-habitat zoological park in Asheboro known for its expansive exhibits and focus on wildlife conservation and education.
-
E.
Denver Zoo
Denver Zoo is a major zoological park in Denver, Colorado, known for its diverse animal exhibits, conservation efforts, and family-friendly attractions.
- 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_69aed967448c819086c4b358d37b25aa |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec581adc81909219e6f025fc97c2 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5124cdf588190b3b83ee8fb29450a |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.