Triple
T12335917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maguindanao |
E294084
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Upi
Upi is a municipality in the province of Maguindanao in the southern Philippines, known for its upland communities and diverse indigenous cultures.
|
E978477
|
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: Upi | Statement: [Maguindanao, hasMunicipality, Upi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upi Context triple: [Maguindanao, hasMunicipality, Upi]
-
A.
Alik Babu
Alik Babu is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
-
B.
Gaghan
Gaghan is the surname of Stephen Gaghan, an American screenwriter and director known for works like "Traffic" and "Syriana."
-
C.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
D.
Upendra
Upendra is a name and epithet of the Hindu god Vishnu, particularly associated with his dwarf incarnation Vamana.
-
E.
Binoy
Binoy is a central character in Rabindranath Tagore’s Bengali novel "Gora," playing a key role in the story’s exploration of identity, nationalism, and social reform.
- 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: Upi Triple: [Maguindanao, hasMunicipality, Upi]
Generated description
Upi is a municipality in the province of Maguindanao in the southern Philippines, known for its upland communities and diverse indigenous cultures.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Upi Target entity description: Upi is a municipality in the province of Maguindanao in the southern Philippines, known for its upland communities and diverse indigenous cultures.
-
A.
Alik Babu
Alik Babu is a notable literary work by Bengali writer and playwright Jyotirindranath Tagore.
-
B.
Gaghan
Gaghan is the surname of Stephen Gaghan, an American screenwriter and director known for works like "Traffic" and "Syriana."
-
C.
Shyam
Shyam is the young protagonist of the classic Marathi autobiographical novel "Shyamchi Aai," depicting his deep bond with his mother and his moral and emotional growth.
-
D.
Upendra
Upendra is a name and epithet of the Hindu god Vishnu, particularly associated with his dwarf incarnation Vamana.
-
E.
Binoy
Binoy is a central character in Rabindranath Tagore’s Bengali novel "Gora," playing a key role in the story’s exploration of identity, nationalism, and social reform.
- 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_69d6ab6ae0dc8190b1522a9c1c55c114 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f6683e881908920e1fee02a14e3 |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aa5f21c8190bcb32a078a2f7ebb |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c54e6b08190bdae0ec35cc1c48d |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d13237881908b7c2dca173e20cf |
completed | May 2, 2026, 4:57 p.m. |
Created at: April 8, 2026, 9:53 p.m.