Triple
T2089140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braves Field |
E32625
|
entity |
| Predicate | hasRemainingStructure |
P16216
|
FINISHED |
| Object | Nickerson Field stands |
—
|
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: Nickerson Field stands | Statement: [Braves Field, hasRemainingStructure, Nickerson Field stands]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRemainingStructure Context triple: [Braves Field, hasRemainingStructure, Nickerson Field stands]
-
A.
hasStructureAbove
Indicates that one entity has another entity positioned vertically higher or located on top of it within a structural or spatial arrangement.
-
B.
hasRemainsOf
chosen
Indicates that one entity physically contains, preserves, or is associated with the leftover physical traces or remnants of another entity.
-
C.
hasOutputStructure
Indicates that an entity produces, defines, or is associated with a particular structural form or arrangement as its output.
-
D.
hasStructureOnOrAdjacent
Indicates that one entity has a physical structure located on it or immediately next to it.
-
E.
hasStructureType
Indicates that an entity possesses or is classified by a specific structural type or configuration.
- F. None of above.
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_69a885eba0708190999696a45cbec816 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba730a5c8190a85be72149574d79 |
completed | March 7, 2026, 5:41 a.m. |
| PD | Predicate disambiguation | batch_69abb7b4356881909217c42ccb8bb1ed |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:43 p.m.