Triple
T28099193
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itá, Santa Catarina |
E710182
|
entity |
| Predicate | hasRelocatedUrbanArea |
P100317
|
FINISHED |
| Object | new town of Itá |
—
|
NE NERFINISHED |
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: new town of Itá | Statement: [Itá, Santa Catarina, hasRelocatedUrbanArea, new town of Itá]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelocatedUrbanArea Context triple: [Itá, Santa Catarina, hasRelocatedUrbanArea, new town of Itá]
-
A.
cityAfterRelocation
chosen
Indicates the city where an entity is located after it has been moved or relocated from a previous place.
-
B.
hasNearbyCityRenamedIn
Indicates that a nearby city underwent a renaming event during a specified time or within a particular temporal context.
-
C.
administrativeCenterMovedFrom
Indicates that the role of administrative center was previously located in one place and has been transferred or relocated from that original location to another.
-
D.
hasOldCity
Indicates that an entity possesses or contains an old or historic city as part of its domain or structure.
-
E.
boroughAfterRelocation
Indicates that an entity’s associated borough is the one it belongs to after a relocation has occurred.
- 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_69ef9b70fd108190a875953b2e50ca91 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ff2d22ffb48190ae58ddf3c7e02869 |
completed | May 9, 2026, 12:48 p.m. |
| PD | Predicate disambiguation | batch_69ff2ac2e1c4819096cc64e94aef2ff0 |
completed | May 9, 2026, 12:38 p.m. |
Created at: April 27, 2026, 9:04 p.m.