Triple
T6496289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Poway |
E148167
|
entity |
| Predicate | hasHistoricName |
P2834
|
FINISHED |
| Object |
Paguay
Paguay is the former historic name of the city now known as Poway in San Diego County, California.
|
E597775
|
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: Paguay | Statement: [Poway, hasHistoricName, Paguay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paguay Context triple: [Poway, hasHistoricName, Paguay]
-
A.
Pampangan
Pampangan is an alternative name for Kapampangan, an Austronesian language and ethnolinguistic group native to the Pampanga region in the Philippines.
-
B.
Barajagua
Barajagua is a locality within Cueto Municipality in Holguín Province, Cuba, known as a small rural community in the eastern part of the country.
-
C.
Badaguan
Badaguan is a scenic coastal area in Qingdao famous for its tree-lined streets, historic European-style villas, and popular seaside promenades.
-
D.
Gualaquiza
Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
-
E.
Chinandega
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
- 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: Paguay Triple: [Poway, hasHistoricName, Paguay]
Generated description
Paguay is the former historic name of the city now known as Poway in San Diego County, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paguay Target entity description: Paguay is the former historic name of the city now known as Poway in San Diego County, California.
-
A.
Pampangan
Pampangan is an alternative name for Kapampangan, an Austronesian language and ethnolinguistic group native to the Pampanga region in the Philippines.
-
B.
Barajagua
Barajagua is a locality within Cueto Municipality in Holguín Province, Cuba, known as a small rural community in the eastern part of the country.
-
C.
Badaguan
Badaguan is a scenic coastal area in Qingdao famous for its tree-lined streets, historic European-style villas, and popular seaside promenades.
-
D.
Gualaquiza
Gualaquiza is a town in southeastern Ecuador known as a local commercial and administrative center within the Amazonian Morona-Santiago Province.
-
E.
Chinandega
Chinandega is a city in northwestern Nicaragua known as a commercial and agricultural hub near the country’s highest volcanoes.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06aba8f04819080b291baf79c42d5 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fdf59548190b4ba4f44716e6b3c |
completed | March 27, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69c660ae1ae48190941b4e0fc1fa6bea |
completed | March 27, 2026, 10:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6615b639c8190af0073368e55ab8d |
completed | March 27, 2026, 10:52 a.m. |
Created at: March 22, 2026, 4:53 p.m.