Triple
T7904102
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Tamaulipas |
E183527
|
entity |
| Predicate | alignmentWithNationalFlag |
P79689
|
FINISHED |
| Object | shares national tricolor pattern |
—
|
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: shares national tricolor pattern | Statement: [Flag of Tamaulipas, alignmentWithNationalFlag, shares national tricolor pattern]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alignmentWithNationalFlag Context triple: [Flag of Tamaulipas, alignmentWithNationalFlag, shares national tricolor pattern]
-
A.
useNationalFlag
Indicates that an entity employs or displays the national flag in a particular context or for a specific purpose.
-
B.
orientationInFlag
Indicates the spatial orientation or alignment of an entity as it appears within a flag.
-
C.
nationalFlag
Indicates that one entity is the official national flag representing the other entity (a country or nation).
-
D.
isOnFlagOf
Indicates that something (typically a symbol, image, or design element) appears on or is depicted on a flag.
-
E.
similarToFlagOf
Indicates that one entity’s flag resembles or closely matches the design, colors, or symbols of another entity’s flag.
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a4331cc8190b50301c78767a850 |
completed | March 31, 2026, 3:06 a.m. |
| PD | Predicate disambiguation | batch_69cae92f9498819085277879e59aa072 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7882b048190baa333af9f698590 |
completed | March 30, 2026, 10:22 p.m. |
Created at: March 30, 2026, 5:02 p.m.