Triple
T4719347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taguig |
E104725
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object |
Palingon
Palingon is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
|
E475626
|
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: Palingon | Statement: [Taguig, hasBarangay, Palingon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palingon Context triple: [Taguig, hasBarangay, Palingon]
-
A.
Malungon
Malungon is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its hilly terrain and farming-based economy.
-
B.
Himamaylan
Himamaylan is a coastal component city in the southern part of Negros Occidental in the Philippines, known historically as one of the province’s older settlements.
-
C.
Masinloc
Masinloc is a coastal municipality in the province of Zambales in the Philippines, known for its fishing industry and proximity to the disputed Scarborough Shoal in the South China Sea.
-
D.
Binalong
Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
-
E.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
- 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: Palingon Triple: [Taguig, hasBarangay, Palingon]
Generated description
Palingon is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Palingon Target entity description: Palingon is a barangay (village-level administrative division) located in the city of Taguig in Metro Manila, Philippines.
-
A.
Malungon
Malungon is a landlocked agricultural municipality in the province of South Cotabato in the Philippines, known for its hilly terrain and farming-based economy.
-
B.
Himamaylan
Himamaylan is a coastal component city in the southern part of Negros Occidental in the Philippines, known historically as one of the province’s older settlements.
-
C.
Masinloc
Masinloc is a coastal municipality in the province of Zambales in the Philippines, known for its fishing industry and proximity to the disputed Scarborough Shoal in the South China Sea.
-
D.
Binalong
Binalong is a small rural village in New South Wales, Australia, known for its historic buildings and pastoral surroundings.
-
E.
Aguiguan
Aguiguan is a small, uninhabited island in the Northern Mariana Islands known for its rugged terrain and seabird colonies.
- 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_69bd43ec4a348190bc41afae43375e71 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd642779a08190b01e588d515cf498 |
completed | March 20, 2026, 3:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5c8a20a88190a668251abbc1c7c8 |
completed | March 21, 2026, 8:53 a.m. |
| NEDg | Description generation | batch_69be6092fb608190a63a32dbf115a6b2 |
completed | March 21, 2026, 9:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be647866088190bbb572a9b8c1cfc1 |
completed | March 21, 2026, 9:27 a.m. |
Created at: March 20, 2026, 1:18 p.m.