Triple
T5096398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boracay |
E114875
|
entity |
| Predicate | hasBarangays |
P13208
|
FINISHED |
| Object |
Yapak
Yapak is a barangay on Boracay Island in the Philippines, known for its quieter atmosphere, scenic beaches, and natural attractions compared to the island’s busier areas.
|
E494977
|
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: Yapak | Statement: [Boracay, hasBarangays, Yapak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yapak Context triple: [Boracay, hasBarangays, Yapak]
-
A.
Yunusari
Yunusari is a local government area in northeastern Nigeria, situated within Yobe State near the border with Niger.
-
B.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
C.
Yipunu
Yipunu is a Bantu language spoken primarily by the Punu people of Gabon and neighboring regions in Central Africa.
-
D.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
E.
Yat
Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
- 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: Yapak Triple: [Boracay, hasBarangays, Yapak]
Generated description
Yapak is a barangay on Boracay Island in the Philippines, known for its quieter atmosphere, scenic beaches, and natural attractions compared to the island’s busier areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yapak Target entity description: Yapak is a barangay on Boracay Island in the Philippines, known for its quieter atmosphere, scenic beaches, and natural attractions compared to the island’s busier areas.
-
A.
Yunusari
Yunusari is a local government area in northeastern Nigeria, situated within Yobe State near the border with Niger.
-
B.
Kaiyukan
Kaiyukan is a large, world-renowned public aquarium in Osaka, Japan, famous for its massive central tank and immersive marine life exhibits.
-
C.
Yipunu
Yipunu is a Bantu language spoken primarily by the Punu people of Gabon and neighboring regions in Central Africa.
-
D.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, Philippines.
-
E.
Yat
Yat is the given name of Yat Malmgren, a notable dancer, choreographer, and acting teacher known for developing a movement-based acting technique.
- 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_69bd443fc49c819089629c00e311310c |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75652a8081908386718f1fdb1de3 |
completed | March 20, 2026, 4:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beba80aee081908498cbe9d4f2eaa7 |
completed | March 21, 2026, 3:34 p.m. |
| NEDg | Description generation | batch_69bebce93dc48190a43fca47cb5c0bcb |
completed | March 21, 2026, 3:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bebe0086bc81908aa38f32952b8902 |
completed | March 21, 2026, 3:49 p.m. |
Created at: March 20, 2026, 1:40 p.m.