Triple
T11177688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Malta |
E264453
|
entity |
| Predicate | redFieldPosition |
P98284
|
FINISHED |
| Object | fly side |
—
|
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: fly side | Statement: [Flag of Malta, redFieldPosition, fly side]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: redFieldPosition Context triple: [Flag of Malta, redFieldPosition, fly side]
-
A.
positionInField
Indicates the specific role, location, or functional placement an entity occupies within a defined field, domain, or area of activity.
-
B.
downFieldLocation
Indicates a location that is farther downfield relative to a reference point, typically in the direction of offensive play or progression.
-
C.
leftFielder
Indicates the relationship where an entity serves in the defensive baseball position of left fielder for a team or in a specific game context.
-
D.
centeredOnField
Indicates that one entity is positioned or focused around the central area of a specified field or domain.
-
E.
relativePositionInStadium
Indicates the spatial relationship between entities based on where they are located relative to each other within a stadium.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75cf0e6e88190973694abe2990973 |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:29 p.m.