Triple
T5810593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Gonzales |
E128857
|
entity |
| Predicate | flagDepiction |
P49885
|
FINISHED |
| Object | white flag with black cannon and star and words Come and Take It |
—
|
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: white flag with black cannon and star and words Come and Take It | Statement: [Battle of Gonzales, flagDepiction, white flag with black cannon and star and words Come and Take It]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: flagDepiction Context triple: [Battle of Gonzales, flagDepiction, white flag with black cannon and star and words Come and Take It]
-
A.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific entity.
-
B.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
C.
flagFamily
Indicates that one flag is part of, or associated with, a broader family or group of related flags.
-
D.
civilFlagDesign
chosen
Indicates the design or pattern used on the civil (non-state) version of a flag.
-
E.
flag
Indicates that one entity marks, signals, or draws attention to another entity, often to denote status, importance, or the need for review or action.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b538cd08190a7dac378898059b9 |
completed | March 22, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c021d5ecd081908a62dd66e26f8598 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:52 p.m.