Triple
T15568492
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alenquer |
E374177
|
entity |
| Predicate | hasParishes |
P2739
|
FINISHED |
| Object |
Ota
Ota is a civil parish in Portugal, known for its location within the municipality of Alenquer in the Lisbon District.
|
E1164873
|
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: Ota | Statement: [Alenquer, hasParishes, Ota]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ota Context triple: [Alenquer, hasParishes, Ota]
-
A.
Ota
Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
-
B.
Ota
Ōta is a large ward in southern Tokyo, Japan, known for Haneda Airport, residential neighborhoods, and a mix of industrial and commercial areas.
-
C.
Ota
Ōta is a major industrial city in Japan’s northern Kantō region, known especially for its automotive manufacturing, including the headquarters and main plants of Subaru.
-
D.
Olta
Olta is a small town in the La Rioja Province of northwestern Argentina that serves as an administrative and service center for the surrounding rural region.
-
E.
Ootha
Ootha is a small rural locality in New South Wales, Australia, situated within the Forbes Shire local government area.
- 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: Ota Triple: [Alenquer, hasParishes, Ota]
Generated description
Ota is a civil parish in Portugal, known for its location within the municipality of Alenquer in the Lisbon District.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ota Target entity description: Ota is a civil parish in Portugal, known for its location within the municipality of Alenquer in the Lisbon District.
-
A.
Ota
Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
-
B.
Ota
Ōta is a large ward in southern Tokyo, Japan, known for Haneda Airport, residential neighborhoods, and a mix of industrial and commercial areas.
-
C.
Ota
Ōta is a major industrial city in Japan’s northern Kantō region, known especially for its automotive manufacturing, including the headquarters and main plants of Subaru.
-
D.
Olta
Olta is a small town in the La Rioja Province of northwestern Argentina that serves as an administrative and service center for the surrounding rural region.
-
E.
Ootha
Ootha is a small rural locality in New South Wales, Australia, situated within the Forbes Shire local government area.
- 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.