Triple
T12509805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellis Field |
E299044
|
entity |
| Predicate | hasHomeAdvantageReputation |
P105336
|
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: [Ellis Field, hasHomeAdvantageReputation, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeAdvantageReputation Context triple: [Ellis Field, hasHomeAdvantageReputation, yes]
-
A.
homeFieldAdvantageBasedOn
Indicates that the degree of home-field advantage is determined or influenced by the specified factor or condition.
-
B.
homeFieldAdvantageFor
Indicates that one entity benefits from playing or operating in its own familiar location or environment when facing the other entity.
-
C.
PatriotsHomeAdvantageReputation
Indicates that the New England Patriots are perceived to gain a notable competitive edge when playing at their home venue.
-
D.
homeFieldAdvantage
Indicates that one participant benefits from playing or operating in a familiar or home environment, gaining an advantage over the opponent.
-
E.
isHomeFieldOf
Indicates that a particular location or venue serves as the primary home field or home ground for a specific team or organization.
- 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_69d6ada4cd388190ae3bbf83ff87057a |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954b867dc8190af8a70f797e4d133 |
completed | April 10, 2026, 7:51 p.m. |
| PD | Predicate disambiguation | batch_69d954096af88190b6be81b008c82139 |
completed | April 10, 2026, 7:48 p.m. |
| PDg | Predicate description generation | batch_69d954b715fc819091fa84430be46273 |
completed | April 10, 2026, 7:51 p.m. |
Created at: April 8, 2026, 9:57 p.m.