Triple
T18768805
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kalibo, Aklan |
E458959
|
entity |
| Predicate | hasBarangays |
P13208
|
FINISHED |
| Object |
Andagao
Andagao is a barangay (village-level administrative division) of the municipality of Kalibo in the province of Aklan, Philippines.
|
E1346146
|
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: Andagao | Statement: [Kalibo, Aklan, hasBarangays, Andagao]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andagao Context triple: [Kalibo, Aklan, hasBarangays, Andagao]
-
A.
Itaitinga
Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
-
B.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
C.
Assagao
Assagao is a picturesque village in North Goa, India, known for its leafy lanes, restored Portuguese-era homes, and growing reputation as a tranquil, upscale residential and boutique tourism hub.
-
D.
Jomgao
Jomgao is a barangay (village-level administrative division) within the municipality of Argao in the province of Cebu, Philippines.
-
E.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
- 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: Andagao Triple: [Kalibo, Aklan, hasBarangays, Andagao]
Generated description
Andagao is a barangay (village-level administrative division) of the municipality of Kalibo in the province of Aklan, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Andagao Target entity description: Andagao is a barangay (village-level administrative division) of the municipality of Kalibo in the province of Aklan, Philippines.
-
A.
Itaitinga
Itaitinga is a municipality in the state of Ceará in northeastern Brazil, located in the metropolitan region of Fortaleza.
-
B.
Dayong
Dayong is the former name of the city now known as Zhangjiajie in Hunan Province, China, famed for its dramatic sandstone pillar landscapes.
-
C.
Assagao
Assagao is a picturesque village in North Goa, India, known for its leafy lanes, restored Portuguese-era homes, and growing reputation as a tranquil, upscale residential and boutique tourism hub.
-
D.
Jomgao
Jomgao is a barangay (village-level administrative division) within the municipality of Argao in the province of Cebu, Philippines.
-
E.
Balaesang
Balaesang is an Austronesian language of the Tomini–Tolitoli group spoken in Central Sulawesi, Indonesia.
- 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_69d8d395dba0819087568404508590cb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e58d867264819098ae35c9feab3bb4 |
completed | April 20, 2026, 2:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05675b46308190b6387e604ae7bfd9 |
completed | May 14, 2026, 6:10 a.m. |
| NEDg | Description generation | batch_6a056a1dd3408190b24d7c797932d153 |
completed | May 14, 2026, 6:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a056a6940948190a9beb4f2ceed172b |
completed | May 14, 2026, 6:23 a.m. |
Created at: April 10, 2026, 11:52 a.m.