Triple
T27508239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of New Mexico |
E694335
|
entity |
| Predicate | rankings |
P152574
|
FINISHED |
| Object | highly rated in U.S. state flag design surveys |
—
|
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: highly rated in U.S. state flag design surveys | Statement: [Flag of New Mexico, rankings, highly rated in U.S. state flag design surveys]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankings Context triple: [Flag of New Mexico, rankings, highly rated in U.S. state flag design surveys]
-
A.
peakRanking
Indicates the highest position or rank an entity has ever achieved within a specified ranking system or context.
-
B.
rankingPositions
Indicates the ordered placement or level assigned to entities within a ranking or hierarchy.
-
C.
rankingBehind
Indicates that one entity holds a lower or later position than another in an ordered ranking or hierarchy.
-
D.
rankIn
chosen
Indicates the relative position or level an entity holds within an ordered set, hierarchy, or competitive context.
-
E.
rankingScope
Indicates the context or domain within which a ranking is defined, interpreted, or applied.
- 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_69ef53842afc8190ba6bd4e4999bda67 |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d17e8d48190b30bcc2f4bd81eb2 |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 27, 2026, 1:14 p.m.