Triple
T11802254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surigao del Norte |
E280654
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Malimono
Malimono is a coastal municipality in the province of Surigao del Norte in the Philippines, known for its rugged shoreline, waterfalls, and fishing communities.
|
E947198
|
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: Malimono | Statement: [Surigao del Norte, hasMunicipality, Malimono]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malimono Context triple: [Surigao del Norte, hasMunicipality, Malimono]
-
A.
Mokena
Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
-
B.
Mokuola
Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
-
C.
Safotu
Safotu is a coastal village on the island of Savaiʻi in Samoa, known for its traditional Samoan culture and scenic beaches.
-
D.
Malax
Malax is a small coastal municipality in western Finland known for its Swedish-speaking majority and rural Ostrobothnian landscapes.
-
E.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
- 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: Malimono Triple: [Surigao del Norte, hasMunicipality, Malimono]
Generated description
Malimono is a coastal municipality in the province of Surigao del Norte in the Philippines, known for its rugged shoreline, waterfalls, and fishing communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Malimono Target entity description: Malimono is a coastal municipality in the province of Surigao del Norte in the Philippines, known for its rugged shoreline, waterfalls, and fishing communities.
-
A.
Mokena
Mokena is a suburban village in Will County, Illinois, located southwest of Chicago.
-
B.
Mokuola
Mokuola is a small, lush island in Hilo Bay on Hawaii’s Big Island, known for its tranquil park, tidal pools, and scenic views of the bay and Mauna Kea.
-
C.
Safotu
Safotu is a coastal village on the island of Savaiʻi in Samoa, known for its traditional Samoan culture and scenic beaches.
-
D.
Malax
Malax is a small coastal municipality in western Finland known for its Swedish-speaking majority and rural Ostrobothnian landscapes.
-
E.
Ronga
Ronga is a Bantu language spoken primarily in southern Mozambique, known for contributing vocabulary and structural features to African varieties of Portuguese.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a5a5a2048190b68027f622366079 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f1314300248190847b9c61bbfda121 |
completed | April 28, 2026, 10:14 p.m. |
| NEDg | Description generation | batch_69f141b1c50c819081a8055d951a49de |
completed | April 28, 2026, 11:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f14fcb63208190ad1185ad66314fa9 |
completed | April 29, 2026, 12:24 a.m. |
Created at: April 8, 2026, 9:42 p.m.