Triple
T4122524
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cebu Island |
E92646
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Danao
Danao is a coastal city and municipality on Cebu Island in the Philippines known for its historical significance and local industries.
|
E420495
|
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: Danao | Statement: [Cebu Island, hasMunicipality, Danao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danao Context triple: [Cebu Island, hasMunicipality, Danao]
-
A.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
B.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
C.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
D.
Dauin
Dauin is a coastal municipality in Negros Oriental, Philippines, known for its rich marine biodiversity and popular dive sites, including access to the renowned Apo Island.
-
E.
Isabelo
Isabelo is a masculine given name of Spanish origin, notably borne by Filipino writer and politician Isabelo de los Reyes.
- 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: Danao Triple: [Cebu Island, hasMunicipality, Danao]
Generated description
Danao is a coastal city and municipality on Cebu Island in the Philippines known for its historical significance and local industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Danao Target entity description: Danao is a coastal city and municipality on Cebu Island in the Philippines known for its historical significance and local industries.
-
A.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
B.
Balamban
Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
-
C.
Canlaon
Canlaon is a city in the Philippines known for its proximity to Mount Kanlaon, an active volcano and prominent natural landmark on Negros Island.
-
D.
Dauin
Dauin is a coastal municipality in Negros Oriental, Philippines, known for its rich marine biodiversity and popular dive sites, including access to the renowned Apo Island.
-
E.
Isabelo
Isabelo is a masculine given name of Spanish origin, notably borne by Filipino writer and politician Isabelo de los Reyes.
- 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_69aed9685f70819086932777aec8d959 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69af020728a08190a50a16b40690cbce |
completed | March 9, 2026, 5:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589de64fc81909662197fdbe45446 |
completed | March 14, 2026, 4:16 p.m. |
| NEDg | Description generation | batch_69b58ad68af88190863ea23e170ce2ca |
completed | March 14, 2026, 4:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b58ba2edbc81908bfbe5d91daf5ae5 |
completed | March 14, 2026, 4:24 p.m. |
Created at: March 9, 2026, 3:41 p.m.