Triple
T4335170
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mayon Volcano |
E97444
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Magayon
Magayon is a legendary maiden from Bicolano folklore whose tragic love story is said to have inspired the name and mythic origins of Mayon Volcano in the Philippines.
|
E430674
|
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: Magayon | Statement: [Mayon Volcano, namedAfter, Magayon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Magayon Context triple: [Mayon Volcano, namedAfter, Magayon]
-
A.
Maayon
Maayon is a rural municipality in the province of Capiz in the Philippines, known for its agricultural landscape and small-town community.
-
B.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
C.
Madadayo
Madadayo is a 1993 Japanese drama film directed by Akira Kurosawa that poignantly portrays the later years of a beloved professor and his enduring bond with former students.
-
D.
Milagro
Milagro is a city in Ecuador known as an important agricultural and commercial center, particularly for sugarcane and rice production.
-
E.
Hanunoo
Hanunoo is an indigenous Philippine script traditionally used by the Hanunó'o Mangyan people of Mindoro to write their Austronesian language.
- 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: Magayon Triple: [Mayon Volcano, namedAfter, Magayon]
Generated description
Magayon is a legendary maiden from Bicolano folklore whose tragic love story is said to have inspired the name and mythic origins of Mayon Volcano in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Magayon Target entity description: Magayon is a legendary maiden from Bicolano folklore whose tragic love story is said to have inspired the name and mythic origins of Mayon Volcano in the Philippines.
-
A.
Maayon
Maayon is a rural municipality in the province of Capiz in the Philippines, known for its agricultural landscape and small-town community.
-
B.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
C.
Madadayo
Madadayo is a 1993 Japanese drama film directed by Akira Kurosawa that poignantly portrays the later years of a beloved professor and his enduring bond with former students.
-
D.
Milagro
Milagro is a city in Ecuador known as an important agricultural and commercial center, particularly for sugarcane and rice production.
-
E.
Hanunoo
Hanunoo is an indigenous Philippine script traditionally used by the Hanunó'o Mangyan people of Mindoro to write their Austronesian language.
- 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35152bfc88190ab5d53ca38f98d8a |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5d0a9967481908828ceeb76ce4cbf |
completed | March 14, 2026, 9:18 p.m. |
| NEDg | Description generation | batch_69b5d14748108190a6f5d4aebaa83ed6 |
completed | March 14, 2026, 9:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5d1b610888190bccace493224c373 |
completed | March 14, 2026, 9:23 p.m. |
Created at: March 12, 2026, 11:14 p.m.