Triple
T19765132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apatlaco |
E474733
|
entity |
| Predicate | hasMetroPictogram |
P109598
|
FINISHED |
| Object | stylized water canal |
—
|
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 water canal | Statement: [Apatlaco, hasMetroPictogram, stylized water canal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetroPictogram Context triple: [Apatlaco, hasMetroPictogram, stylized water canal]
-
A.
hasMetroLine
Indicates that a location or area is served by, or connected to, a specific metro (subway) line.
-
B.
hasMetroTerminus
Indicates that one location serves as the terminal (end) station of a metro line for another location.
-
C.
hasSubwaySymbol
chosen
Indicates that one entity is used as the official subway symbol or icon representing another entity.
-
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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e653226af081909992ff5568bb54a5 |
completed | April 20, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e5305016e08190b9561a96baecb0b8 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.