Triple
T10630580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baixada Fluminense |
E250441
|
entity |
| Predicate | containsAdministrativeUnit |
P3892
|
FINISHED |
| Object | Mesquita |
E856564
|
NE 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: Mesquita | Statement: [Baixada Fluminense, containsAdministrativeUnit, Mesquita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mesquita Context triple: [Baixada Fluminense, containsAdministrativeUnit, Mesquita]
-
A.
Mesquita
chosen
Mesquita is a municipality in the state of Rio de Janeiro, Brazil, situated within the densely populated urban area surrounding the city of Rio de Janeiro.
-
B.
Mesquita
Mesquita is a Portuguese-language surname of Iberian origin borne by various notable individuals across the Lusophone world.
-
C.
Alamata
Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
-
D.
Bassel
Bassel is an Arabic masculine given name commonly used in the Levant and other Arabic-speaking regions.
-
E.
Madarihat
Madarihat is a small town in West Bengal, India, known primarily as the main gateway and service hub for visitors to Jaldapara National Park.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aa5993448190a493b790b8f85010 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6df93a2b88190a0f3a52b8e88f54f |
completed | April 8, 2026, 11:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96bb4bbf08190994ea9123c0b2dab |
completed | April 10, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:01 p.m.