Triple
T133182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Himno Nacional Mexicano |
E2694
|
entity |
| Predicate | hasOfficialPart |
P35
|
FINISHED |
| Object | coro y estrofas I, V, VI y X |
—
|
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: coro y estrofas I, V, VI y X | Statement: [Himno Nacional Mexicano, hasOfficialPart, coro y estrofas I, V, VI y X]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialPart Context triple: [Himno Nacional Mexicano, hasOfficialPart, coro y estrofas I, V, VI y X]
-
A.
hasPart
chosen
Indicates that one entity is a component, segment, or constituent part of another entity.
-
B.
coOfficialWith
Indicates that two entities share the same official status, role, or designation concurrently within a given context.
-
C.
isOfficialPortalFor
Indicates that one entity serves as the recognized, authoritative portal or entry point for accessing information or services related to another entity.
-
D.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
E.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
- 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_69a2520c0f3481908b0ed054a2fca8d0 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257871b8c8190868838837c0058d6 |
completed | Feb. 28, 2026, 2:48 a.m. |
| PD | Predicate disambiguation | batch_69a25650251c81908a6ea6368cd61198 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:30 a.m.