Triple
T24316863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasco da Gama Tower |
E612844
|
entity |
| Predicate | districtPanorama |
P104988
|
FINISHED |
| Object | Parque das Nações |
—
|
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: Parque das Nações | Statement: [Vasco da Gama Tower, districtPanorama, Parque das Nações]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: districtPanorama Context triple: [Vasco da Gama Tower, districtPanorama, Parque das Nações]
-
A.
districtSize
Indicates the total physical area or extent of a district.
-
B.
district depicted
chosen
Indicates that a visual representation (such as an image or map) shows or portrays a particular district.
-
C.
districtContext
Indicates that something occurs within, is associated with, or is interpreted in the context of a particular district or administrative area.
-
D.
cityPanorama
Indicates a wide, comprehensive visual view or representation of a cityscape, typically encompassing many of its features in a single scene.
-
E.
districtFormat
Indicates the specific structural or organizational format in which a district is defined, represented, or administered.
- 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_69e2d7da491c8190b6e6218af50923db |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292a834148190ab084c11cb3e59fe |
completed | April 29, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 1:47 a.m.