Triple
T10644777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maresme |
E250808
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Teià
Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
|
E891562
|
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: Teià | Statement: [Maresme, hasMunicipality, Teià]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teià Context triple: [Maresme, hasMunicipality, Teià]
-
A.
Teimei
Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
-
B.
Towa
Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
-
C.
Teru
Teru is a musical track featured on the album "Adam's Apple."
-
D.
Tepi
Tepi is a town in southwestern Ethiopia known for its coffee production and location within a lush, forested region.
-
E.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
- 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: Teià Triple: [Maresme, hasMunicipality, Teià]
Generated description
Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teià Target entity description: Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
-
A.
Teimei
Teimei is the posthumous name of the Japanese empress consort of Emperor Taishō, who served as Empress of Japan in the early 20th century.
-
B.
Towa
Towa is a Native American Tanoan language spoken primarily by the Jemez Pueblo people of northern New Mexico.
-
C.
Teru
Teru is a musical track featured on the album "Adam's Apple."
-
D.
Tepi
Tepi is a town in southwestern Ethiopia known for its coffee production and location within a lush, forested region.
-
E.
Orito
Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfd04ca88190ac4fffd13c1f33a8 |
completed | April 8, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154679bb88190b2fffeea74d1fc50 |
completed | April 16, 2026, 9:28 p.m. |
| NEDg | Description generation | batch_69e17160fa048190a55d232b39191584 |
completed | April 16, 2026, 11:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e173ac6c588190a6781d937651ddc7 |
completed | April 16, 2026, 11:41 p.m. |
Created at: April 8, 2026, 9:05 p.m.