Triple
T15933008
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arayat |
E386367
|
entity |
| Predicate | locatedAtFootOf |
P7611
|
FINISHED |
| Object | Mount Arayat |
E1021227
|
NE FINISHED |
How this triple was built (2 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: Mount Arayat | Statement: [Arayat, locatedAtFootOf, Mount Arayat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mount Arayat Context triple: [Arayat, locatedAtFootOf, Mount Arayat]
-
A.
Mount Arayat
chosen
Mount Arayat is a prominent inactive stratovolcano and pilgrimage site rising from the plains of Pampanga in Central Luzon, Philippines.
-
B.
Mount Sibayak
Mount Sibayak is an active stratovolcano in North Sumatra, Indonesia, known for its accessible crater, geothermal vents, and popular hiking trails near the town of Berastagi.
-
C.
Mount Isarog
Mount Isarog is a prominent, forested stratovolcano in the Bicol Region of southern Luzon in the Philippines, known for its rich biodiversity and hiking trails.
-
D.
Mount Nanlaud
Mount Nanlaud is the tallest mountain on the Micronesian island of Pohnpei, known for its lush tropical rainforest and frequent cloud cover.
-
E.
Mount Binaiya
Mount Binaiya is the highest mountain on the Indonesian island of Seram, known for its rugged terrain and rich biodiversity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a6d9b88190b461d12d69b12ac0 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbc5034c8190afcaa7d35c957396 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:53 a.m.