Triple
T25993702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 NCAA Division I men's basketball tournament |
E646426
|
entity |
| Predicate | FirstFourSite |
P1205
|
FINISHED |
| Object |
Dayton
Dayton is a mid-sized city in western Ohio known for its rich aviation history and strong college basketball culture.
|
E82485
|
NE FINISHED |
How this triple was built (3 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: Dayton | Statement: [2023 NCAA Division I men's basketball tournament, FirstFourSite, Dayton]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dayton Triple: [2023 NCAA Division I men's basketball tournament, FirstFourSite, Dayton]
Generated description
Dayton is a mid-sized city in western Ohio known for its rich aviation history and strong college basketball culture.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FirstFourSite Context triple: [2023 NCAA Division I men's basketball tournament, FirstFourSite, Dayton]
-
A.
firstFourLocation
Indicates that an entity occupies or is associated with one of the first four positions or locations in a specified ordered sequence or space.
-
B.
openingSite
Indicates the location or site where an opening or access point is created, occurs, or is situated.
-
C.
siteName
Indicates the name or designated title of a particular site or location associated with an entity.
-
D.
site
chosen
Indicates that one entity is the physical or virtual location where another entity is situated, occurs, or is based.
-
E.
servesSite
Indicates that one entity provides or hosts a website or web service for another entity.
- F. None of above.
Provenance (6 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_69e77e88cb8481908da31d4a00661f55 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a118f73fc0c8190b3f20df8499e8704 |
completed | May 23, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_6a11901174d08190867e2c8b9c622e1c |
completed | May 23, 2026, 11:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a119094eaf88190a68b09d1ec79b634 |
completed | May 23, 2026, 11:33 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: April 22, 2026, 8:57 a.m.