Triple
T23276121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metropolitan Region of Fortaleza |
E588722
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Trairi
Trairi is a coastal municipality in the state of Ceará, Brazil, known for its beaches, dunes, and traditional fishing communities.
|
E1577845
|
NE FINISHED |
How this triple was built (4 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: Trairi | Statement: [Metropolitan Region of Fortaleza, hasMunicipality, Trairi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trairi Context triple: [Metropolitan Region of Fortaleza, hasMunicipality, Trairi]
-
A.
Turiaso
Turiaso was the Roman-era name for the ancient settlement located at the site of modern-day Tarazona in northeastern Spain.
-
B.
Trafaria
Trafaria is a riverside town in the Lisbon metropolitan area of Portugal, located on the south bank of the Tagus River opposite the city of Lisbon.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
E.
Perenaar
A Perenaar is a person who originates from or is a resident of the place called Peer.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Trairi Triple: [Metropolitan Region of Fortaleza, hasMunicipality, Trairi]
Generated description
Trairi is a coastal municipality in the state of Ceará, Brazil, known for its beaches, dunes, and traditional fishing communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trairi Target entity description: Trairi is a coastal municipality in the state of Ceará, Brazil, known for its beaches, dunes, and traditional fishing communities.
-
A.
Turiaso
Turiaso was the Roman-era name for the ancient settlement located at the site of modern-day Tarazona in northeastern Spain.
-
B.
Trafaria
Trafaria is a riverside town in the Lisbon metropolitan area of Portugal, located on the south bank of the Tagus River opposite the city of Lisbon.
-
C.
The Turim
The Turim is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organizes halakhic rulings into four major sections.
-
D.
Taygi
Taygi is a lesser-known Samoyedic language of the Uralic family traditionally spoken by an indigenous group in northern Siberia.
-
E.
Perenaar
A Perenaar is a person who originates from or is a resident of the place called Peer.
- F. None of above. chosen
Provenance (5 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_69e25d16e2c08190a291de254703129e |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19577841481909acc17bb565bae5c |
completed | April 29, 2026, 5:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c3f7b1a6081908905ed9e8373d52b |
completed | May 19, 2026, 10:46 a.m. |
| NEDg | Description generation | batch_6a0c4009a90c819080c32c5a3363d92e |
completed | May 19, 2026, 10:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c40a9e6008190ad61feba7f47fea9 |
completed | May 19, 2026, 10:51 a.m. |
Created at: April 17, 2026, 4:48 p.m.