Triple
T38516505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tacubaya metro station |
E922354
|
entity |
| Predicate | pictogramRepresents |
P30078
|
FINISHED |
| Object | historic water wheel of Tacubaya |
—
|
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: historic water wheel of Tacubaya | Statement: [Tacubaya metro station, pictogramRepresents, historic water wheel of Tacubaya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pictogramRepresents Context triple: [Tacubaya metro station, pictogramRepresents, historic water wheel of Tacubaya]
-
A.
iconographicRepresentation
Indicates that one entity serves as a visual or symbolic depiction of another, typically in an artistic, religious, or cultural context.
-
B.
iconographicallyAssociatedWith
Indicates that two entities are related through shared or corresponding visual symbols, motifs, or iconographic representations.
-
C.
pictorialCharacteristic
Indicates a visual or image-based feature that characterizes how something appears or is depicted.
-
D.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
E.
iconOf
chosen
Indicates that one entity serves as a symbolic or representative image or emblem of another entity.
- 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_69f76ea5f5588190bd0b28c82e975640 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fcd313e61c8190b174b331365b803f |
completed | May 7, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f6b2e08190bf0300ae7c9ae67a |
completed | May 7, 2026, 5:55 p.m. |
Created at: May 3, 2026, 4:32 p.m.