Triple
T16396864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Botolan |
E398205
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Bangan
Bangan is a barangay (village-level administrative division) of the municipality of Botolan in the province of Zambales, Philippines.
|
E1209581
|
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: Bangan | Statement: [Botolan, hasBarangay, Bangan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bangan Context triple: [Botolan, hasBarangay, Bangan]
-
A.
Bengan
Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
-
B.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
-
C.
Bangana
Bangana is a town in the Una district of Himachal Pradesh, India, known as a local commercial and administrative center for the surrounding rural area.
-
D.
Bangar
Bangar is a coastal municipality in the province of La Union in the Philippines, known for its handwoven textiles and agricultural products.
-
E.
Sangan
Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
- 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: Bangan Triple: [Botolan, hasBarangay, Bangan]
Generated description
Bangan is a barangay (village-level administrative division) of the municipality of Botolan in the province of Zambales, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bangan Target entity description: Bangan is a barangay (village-level administrative division) of the municipality of Botolan in the province of Zambales, Philippines.
-
A.
Bengan
Bengan is a Swedish diminutive or nickname commonly used for the male given name Bengt.
-
B.
Bogangar
Bogangar is a coastal village in northern New South Wales, Australia, known for its proximity to Cabarita Beach and its relaxed seaside lifestyle.
-
C.
Bangana
Bangana is a town in the Una district of Himachal Pradesh, India, known as a local commercial and administrative center for the surrounding rural area.
-
D.
Bangar
Bangar is a coastal municipality in the province of La Union in the Philippines, known for its handwoven textiles and agricultural products.
-
E.
Sangan
Sangan is a town located in Pakistan’s Balochistan province within the Sibi District.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cb3c708190b64341cb1410ed81 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00357838a88190be88c51f454be6eb |
completed | May 10, 2026, 7:36 a.m. |
| NEDg | Description generation | batch_6a0035ea77dc8190bda37dac2710d0e3 |
completed | May 10, 2026, 7:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0036e53f2c81908f04a5e51870040c |
completed | May 10, 2026, 7:42 a.m. |
Created at: April 10, 2026, 5:09 a.m.