Triple
T37536393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cadiz Viejo |
E933207
|
entity |
| Predicate | economicRoleInCity |
P8234
|
FINISHED |
| Object | tourism gateway for Cadiz City |
—
|
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: tourism gateway for Cadiz City | Statement: [Cadiz Viejo, economicRoleInCity, tourism gateway for Cadiz City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicRoleInCity Context triple: [Cadiz Viejo, economicRoleInCity, tourism gateway for Cadiz City]
-
A.
urbanRole
Indicates the function, status, or role that an entity holds within an urban or city context.
-
B.
hasCityRole
chosen
Indicates that an entity holds or is assigned a specific role, function, or status within a particular city.
-
C.
focusCityRole
Indicates that a city serves a particular primary role or function within a broader geographic or organizational context.
-
D.
socioeconomicRole
Indicates the social and economic position, function, or status an entity holds within a society or system.
-
E.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:17 p.m.