Triple
T26479832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zaragoza |
E664644
|
entity |
| Predicate | stationLogoDescription |
P162161
|
FINISHED |
| Object | silhouette of General Ignacio Zaragoza |
—
|
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: silhouette of General Ignacio Zaragoza | Statement: [Zaragoza, stationLogoDescription, silhouette of General Ignacio Zaragoza]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: stationLogoDescription Context triple: [Zaragoza, stationLogoDescription, silhouette of General Ignacio Zaragoza]
-
A.
stationSlogan
Indicates the promotional phrase or tagline that is used to represent or advertise a particular station.
-
B.
ownedStationsBranding
Indicates that a particular branding is used by stations that are owned by a specified entity.
-
C.
networkBrandingOfStationServed
Indicates the branding or network identity under which a station operates or is presented when it is served.
-
D.
callSignStation
Indicates that a particular call sign is assigned to or used by a specific station.
-
E.
flagshipStationFor
Indicates that one station serves as the primary or leading representative station for a particular network, organization, or service.
- F. None of above. chosen
Provenance (4 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_69ee883bc85481909885f92415cbce33 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620debeb48190b7db395fb86cf8d9 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 27, 2026, 12:26 a.m.