Triple
T1019465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the Republic of Texas |
E22006
|
entity |
| Predicate | starPosition |
P23292
|
FINISHED |
| Object | centered in blue vertical stripe |
—
|
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: centered in blue vertical stripe | Statement: [Flag of the Republic of Texas, starPosition, centered in blue vertical stripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starPosition Context triple: [Flag of the Republic of Texas, starPosition, centered in blue vertical stripe]
-
A.
starCount
Indicates the number of stars associated with an entity, typically representing a rating, quality level, or count of starred items.
-
B.
celestialLocation
Indicates the spatial or positional relationship of an entity relative to a celestial body or region in space.
-
C.
starSystem
Indicates a relationship where an astronomical object or location belongs to, is part of, or is located within a particular star system.
-
D.
starSign
Indicates the astrological zodiac sign associated with a person or entity based on their birth date.
-
E.
isAsterismOf
Indicates that one or more stars collectively form or belong to a specific asterism.
- 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_69a493d6e380819097b384986ffc315c |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7dbcf7c8190858b2d16a27bd2ff |
completed | March 1, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69a4b724c7908190a5b92a57fbdbff4e |
completed | March 1, 2026, 10:01 p.m. |
| PDg | Predicate description generation | batch_69a4b7bd3d50819091e6f1d2ffe4c7ee |
completed | March 1, 2026, 10:03 p.m. |
Created at: March 1, 2026, 7:41 p.m.