Triple
T19003906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilan |
E465025
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Lantawan
Lantawan is a coastal municipality on the island province of Basilan in the southern Philippines, known for its predominantly rural communities and proximity to key maritime routes in the Sulu Archipelago.
|
E1353818
|
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: Lantawan | Statement: [Basilan, hasMunicipality, Lantawan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lantawan Context triple: [Basilan, hasMunicipality, Lantawan]
-
A.
Baclayon
Baclayon is a historic coastal municipality in the Philippines renowned for its centuries-old Spanish-era church and well-preserved heritage structures.
-
B.
Tahuna
Tahuna is the main town and administrative center of the Sangihe Islands in North Sulawesi, Indonesia.
-
C.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
D.
Tayug
Tayug is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its rice farming and rural community life.
-
E.
Cabatuan
Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
- 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: Lantawan Triple: [Basilan, hasMunicipality, Lantawan]
Generated description
Lantawan is a coastal municipality on the island province of Basilan in the southern Philippines, known for its predominantly rural communities and proximity to key maritime routes in the Sulu Archipelago.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lantawan Target entity description: Lantawan is a coastal municipality on the island province of Basilan in the southern Philippines, known for its predominantly rural communities and proximity to key maritime routes in the Sulu Archipelago.
-
A.
Baclayon
Baclayon is a historic coastal municipality in the Philippines renowned for its centuries-old Spanish-era church and well-preserved heritage structures.
-
B.
Tahuna
Tahuna is the main town and administrative center of the Sangihe Islands in North Sulawesi, Indonesia.
-
C.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
D.
Tayug
Tayug is a landlocked agricultural municipality in the province of Pangasinan in the Philippines, known for its rice farming and rural community life.
-
E.
Cabatuan
Cabatuan is a rural barangay of the municipality of Botolan in the province of Zambales, Philippines.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a3db9c8190a1bf0228e360a6e0 |
completed | April 20, 2026, 7:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05b45dc7e88190a0bf79ea1bb18f99 |
completed | May 14, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a05b5dfac0c8190b67921280d5ab1fe |
completed | May 14, 2026, 11:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05b68aba3081908ca21d732e45f454 |
completed | May 14, 2026, 11:48 a.m. |
Created at: April 10, 2026, 12:01 p.m.