Triple
T20025963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Malay |
E494981
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Nabaoy
Nabaoy is a rural barangay in the Municipality of Malay, Aklan, Philippines, known for its river, eco-tourism activities, and natural scenery.
|
E1407543
|
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: Nabaoy | Statement: [Municipality of Malay, hasBarangay, Nabaoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nabaoy Context triple: [Municipality of Malay, hasBarangay, Nabaoy]
-
A.
Nabeina
Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
B.
Nagoba
Nagoba is a revered serpent deity worshipped by tribal communities in Telangana, India, particularly during the annual Keslapur Jathra festival.
-
C.
Nabas
Nabas is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, wind farms, and proximity to the resort island of Boracay.
-
D.
Nayot
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
-
E.
Nulkaba
Nulkaba is a small locality in the Hunter Region of New South Wales, Australia, known for its proximity to the vineyards and tourist attractions of the Cessnock and Pokolbin wine country.
- 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: Nabaoy Triple: [Municipality of Malay, hasBarangay, Nabaoy]
Generated description
Nabaoy is a rural barangay in the Municipality of Malay, Aklan, Philippines, known for its river, eco-tourism activities, and natural scenery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nabaoy Target entity description: Nabaoy is a rural barangay in the Municipality of Malay, Aklan, Philippines, known for its river, eco-tourism activities, and natural scenery.
-
A.
Nabeina
Nabeina is a small village located on Tarawa Atoll in the Pacific island nation of Kiribati.
-
B.
Nagoba
Nagoba is a revered serpent deity worshipped by tribal communities in Telangana, India, particularly during the annual Keslapur Jathra festival.
-
C.
Nabas
Nabas is a coastal municipality in the province of Aklan in the Philippines, known for its beaches, wind farms, and proximity to the resort island of Boracay.
-
D.
Nayot
Nayot is a residential neighborhood in western Jerusalem, Israel, known for its proximity to major cultural and governmental institutions.
-
E.
Nulkaba
Nulkaba is a small locality in the Hunter Region of New South Wales, Australia, known for its proximity to the vineyards and tourist attractions of the Cessnock and Pokolbin wine country.
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628d5b8c8190a35f95ac4a016550 |
completed | April 20, 2026, 5:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a080e2f549c8190b04f8470fbb63a0c |
completed | May 16, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_6a080f393dc0819093fec526d1b51dac |
completed | May 16, 2026, 6:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0810234a788190b329c55e553b365e |
completed | May 16, 2026, 6:35 a.m. |
Created at: April 11, 2026, 3:35 p.m.