Triple
T15568717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mira (Portugal) |
E374182
|
entity |
| Predicate | hasMunicipalSeat |
P1474
|
FINISHED |
| Object |
Mira (town)
Mira (town) is a small coastal settlement in central Portugal that serves as the administrative center of the municipality of Mira.
|
E1164911
|
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: Mira (town) | Statement: [Mira (Portugal), hasMunicipalSeat, Mira (town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mira (town) Context triple: [Mira (Portugal), hasMunicipalSeat, Mira (town)]
-
A.
Santa Mira
Santa Mira is a fictional California town best known as the eerie setting of the horror film "Halloween III: Season of the Witch."
-
B.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
C.
Miran
Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
-
D.
Mirani
Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
-
E.
Mirani
Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
- 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: Mira (town) Triple: [Mira (Portugal), hasMunicipalSeat, Mira (town)]
Generated description
Mira (town) is a small coastal settlement in central Portugal that serves as the administrative center of the municipality of Mira.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mira (town) Target entity description: Mira (town) is a small coastal settlement in central Portugal that serves as the administrative center of the municipality of Mira.
-
A.
Santa Mira
Santa Mira is a fictional California town best known as the eerie setting of the horror film "Halloween III: Season of the Witch."
-
B.
Mirik
Mirik is a small hill town and popular tourist destination in the Darjeeling district of West Bengal, India, known for its scenic lake, tea gardens, and pleasant climate.
-
C.
Miran
Miran was the son of Mir Jafar, the controversial Nawab of Bengal installed by the British East India Company in the mid-18th century.
-
D.
Mirani
Mirani is a small rural town and locality in Queensland, Australia, known for its sugarcane farming and proximity to the Pioneer Valley.
-
E.
Mirani
Mirani is an electoral district in Queensland, Australia, represented in the state's Legislative Assembly.
- 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_69d85ccd575081908909b71a3f3e3a61 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04dde90b081908284d9258d4462e3 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff4c4440a481909699a7eee25a4b24 |
completed | May 9, 2026, 3:01 p.m. |
| NEDg | Description generation | batch_69ff4f27c7b08190bbe2d64eef0610f8 |
completed | May 9, 2026, 3:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff4fc4223c8190a3dd7a6853258791 |
completed | May 9, 2026, 3:16 p.m. |
Created at: April 10, 2026, 4:10 a.m.