Triple
T6632182
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilha do Zeca (Mangueira) |
E149951
|
entity |
| Predicate | hasNaturalContext |
P71847
|
FINISHED |
| Object | mangrove-fringed waterways |
—
|
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: mangrove-fringed waterways | Statement: [Ilha do Zeca (Mangueira), hasNaturalContext, mangrove-fringed waterways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNaturalContext Context triple: [Ilha do Zeca (Mangueira), hasNaturalContext, mangrove-fringed waterways]
-
A.
hasCivilContext
Indicates that the relationship or action occurs within a civil (non-criminal) legal or societal context.
-
B.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
C.
hasNaturalSignificance
Indicates that something possesses inherent meaning, importance, or value derived from its nature or from natural properties, rather than from convention or assignment.
-
D.
hasLanguageContext
Indicates that an entity is associated with or interpreted within a specific language or linguistic context.
-
E.
hasCountryContext
Indicates that something is associated with, interpreted within, or relevant to a specific country or national context.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
| PDg | Predicate description generation | batch_69c6c30733908190980f7ffaa5c5527b |
completed | March 27, 2026, 5:48 p.m. |
Created at: March 27, 2026, 1:59 p.m.