Triple
T17794635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ermita |
E444257
|
entity |
| Predicate | hasMetroSymbol |
P109598
|
FINISHED |
| Object | stylized image of a church |
—
|
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: stylized image of a church | Statement: [Ermita, hasMetroSymbol, stylized image of a church]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetroSymbol Context triple: [Ermita, hasMetroSymbol, stylized image of a church]
-
A.
hasSubwaySymbol
chosen
Indicates that one entity is used as the official subway symbol or icon representing another entity.
-
B.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
C.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
D.
hasMetropolitan
Indicates that an entity is associated with, served by, or located within a specific metropolitan area.
-
E.
hasMetroStations
Indicates that a place or area is served by one or more metro (subway) stations.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48799f9608190bc97264c849278a0 |
completed | April 19, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69e3d8de28688190844b65acf6af54e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:13 a.m.