Triple
T23359142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahinog |
E593134
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Tagdo
Tagdo is a rural barangay (village-level administrative division) of the municipality of Mahinog in the province of Camiguin, Philippines.
|
E1582626
|
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: Tagdo | Statement: [Mahinog, hasBarangay, Tagdo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagdo Context triple: [Mahinog, hasBarangay, Tagdo]
-
A.
Tadoe
Tadoe is an American rapper from Chicago known for his involvement in the drill music scene and frequent collaborations with artists like Chief Keef and Young Chop.
-
B.
Taodue
Taodue is an Italian film and television production company known for creating popular series and movies, particularly in collaboration with major broadcaster Mediaset.
-
C.
Ta Da
"Ta Da" is a song by American R&B singer Lil' Mo, known for showcasing her powerful vocals and emotive style.
-
D.
Tandika
Tandika is a ward and urban neighborhood located within the Temeke District of Dar es Salaam, Tanzania.
-
E.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, 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: Tagdo Triple: [Mahinog, hasBarangay, Tagdo]
Generated description
Tagdo is a rural barangay (village-level administrative division) of the municipality of Mahinog in the province of Camiguin, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tagdo Target entity description: Tagdo is a rural barangay (village-level administrative division) of the municipality of Mahinog in the province of Camiguin, Philippines.
-
A.
Tadoe
Tadoe is an American rapper from Chicago known for his involvement in the drill music scene and frequent collaborations with artists like Chief Keef and Young Chop.
-
B.
Taodue
Taodue is an Italian film and television production company known for creating popular series and movies, particularly in collaboration with major broadcaster Mediaset.
-
C.
Ta Da
"Ta Da" is a song by American R&B singer Lil' Mo, known for showcasing her powerful vocals and emotive style.
-
D.
Tandika
Tandika is a ward and urban neighborhood located within the Temeke District of Dar es Salaam, Tanzania.
-
E.
Tuktukan
Tuktukan is a barangay (village-level administrative division) in the city of Taguig in Metro Manila, 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a1a39988190b4b4993b80d5a5f6 |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd385948190940cf5b878e54002 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5fa0ae848190a23b0c8c16345c26 |
completed | May 19, 2026, 1:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c604cc84c8190946e2a35e0f736ce |
completed | May 19, 2026, 1:06 p.m. |
Created at: April 17, 2026, 5:29 p.m.