Triple
T20376088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panicale |
E497695
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Paciano
Paciano is a small medieval hill town in the Umbria region of central Italy, known for its well-preserved historic center and scenic countryside.
|
E1427248
|
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: Paciano | Statement: [Panicale, locatedNear, Paciano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paciano Context triple: [Panicale, locatedNear, Paciano]
-
A.
Apolinario
Apolinario is the given name of Apolinario Mabini, a key Filipino revolutionary leader and political philosopher known as the “Brains of the Philippine Revolution.”
-
B.
Kalepa Baybayan
Kalepa Baybayan was a renowned Native Hawaiian master navigator and cultural educator known for reviving and teaching traditional Polynesian wayfinding techniques on voyaging canoes such as Hōkūleʻa.
-
C.
Gavarra
Gavarra is a metro station in the Barcelona metropolitan area served by line 5 of the Barcelona Metro network.
-
D.
Diosdado
Diosdado is a Filipino given name most prominently associated with Diosdado Macapagal, the ninth President of the Philippines.
-
E.
Elpidio
Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
- 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: Paciano Triple: [Panicale, locatedNear, Paciano]
Generated description
Paciano is a small medieval hill town in the Umbria region of central Italy, known for its well-preserved historic center and scenic countryside.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Paciano Target entity description: Paciano is a small medieval hill town in the Umbria region of central Italy, known for its well-preserved historic center and scenic countryside.
-
A.
Apolinario
Apolinario is the given name of Apolinario Mabini, a key Filipino revolutionary leader and political philosopher known as the “Brains of the Philippine Revolution.”
-
B.
Kalepa Baybayan
Kalepa Baybayan was a renowned Native Hawaiian master navigator and cultural educator known for reviving and teaching traditional Polynesian wayfinding techniques on voyaging canoes such as Hōkūleʻa.
-
C.
Gavarra
Gavarra is a metro station in the Barcelona metropolitan area served by line 5 of the Barcelona Metro network.
-
D.
Diosdado
Diosdado is a Filipino given name most prominently associated with Diosdado Macapagal, the ninth President of the Philippines.
-
E.
Elpidio
Elpidio is a masculine given name most notably borne by Elpidio Quirino, the sixth President of the Philippines.
- 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_69e0b4a5b7908190a972e4e7e698ae94 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e678acae3c8190ae04323760bf5597 |
completed | April 20, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0870937de48190b416824110d64245 |
completed | May 16, 2026, 1:26 p.m. |
| NEDg | Description generation | batch_6a08717357a881908ba83d104fc3f228 |
completed | May 16, 2026, 1:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a087267236c81908c91359f270fb17e |
completed | May 16, 2026, 1:34 p.m. |
Created at: April 16, 2026, 11:27 a.m.