Triple
T2375897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cebu |
E46197
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Ginatilan
Ginatilan is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its waterfalls and rural, seaside landscapes.
|
E261537
|
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: Ginatilan | Statement: [Cebu, hasPart, Ginatilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ginatilan Context triple: [Cebu, hasPart, Ginatilan]
-
A.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
B.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
-
C.
Dapitan
Dapitan is a historic coastal city in the Zamboanga Peninsula of the Philippines, best known as the place of exile of national hero José Rizal.
-
D.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
-
E.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the 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: Ginatilan Triple: [Cebu, hasPart, Ginatilan]
Generated description
Ginatilan is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its waterfalls and rural, seaside landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ginatilan Target entity description: Ginatilan is a coastal municipality in the southwestern part of Cebu province in the Philippines, known for its waterfalls and rural, seaside landscapes.
-
A.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
-
B.
Timugan
Timugan is a barangay (village-level administrative division) in the municipality of Los Baños in the province of Laguna, Philippines.
-
C.
Dapitan
Dapitan is a historic coastal city in the Zamboanga Peninsula of the Philippines, best known as the place of exile of national hero José Rizal.
-
D.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
-
E.
Surigaonon
Surigaonon is a Visayan language spoken primarily in the Caraga region of northeastern Mindanao in the 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_69a88a1554a48190a0180682bcf099be |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc794eee481908163148e1e666d9b |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8ac3e80819099065f874f9dc25d |
completed | March 9, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69aeabd9a5a08190a2c6699576e36c46 |
completed | March 9, 2026, 11:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aead3299c88190af03577eef126387 |
completed | March 9, 2026, 11:21 a.m. |
Created at: March 4, 2026, 7:57 p.m.