Triple
T423197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schaefer Stadium |
E8148
|
entity |
| Predicate | successorFunction |
P13577
|
FINISHED |
| Object | site of Gillette Stadium and Patriot Place development area |
—
|
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: site of Gillette Stadium and Patriot Place development area | Statement: [Schaefer Stadium, successorFunction, site of Gillette Stadium and Patriot Place development area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorFunction Context triple: [Schaefer Stadium, successorFunction, site of Gillette Stadium and Patriot Place development area]
-
A.
successorState
Indicates that one state directly follows another as the immediate next state in a sequence or process.
-
B.
successorOperator
Indicates that one operator directly follows another in a defined sequence or ordering.
-
C.
successor
Indicates that one entity directly follows another in an ordered sequence or position.
-
D.
eventualSuccessor
Indicates that one entity will become the successor of another at some later point in time, rather than immediately.
-
E.
successorInterface
Indicates that one interface directly follows and replaces another interface in a sequence or version lineage.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eec200648190bcb9f1b98c8e9cdf |
completed | Feb. 28, 2026, 1:33 p.m. |
| PD | Predicate disambiguation | batch_69a2edd5439c8190aea661b8b4aa51e9 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.