Triple
T4334963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pasig |
E97441
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Barangay San Nicolas
Barangay San Nicolas is a local administrative community within the highly urbanized city of Pasig in Metro Manila, Philippines.
|
E448315
|
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: Barangay San Nicolas | Statement: [Pasig, hasDistrict, Barangay San Nicolas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barangay San Nicolas Context triple: [Pasig, hasDistrict, Barangay San Nicolas]
-
A.
Barangay San Miguel
Barangay San Miguel is a local administrative community within the city of Pasig in Metro Manila, Philippines.
-
B.
Barangay San Antonio
Barangay San Antonio is a primarily residential and commercial barangay in Pasig City, Metro Manila, known for its urban communities and proximity to major business districts.
-
C.
Barangay San Joaquin
Barangay San Joaquin is a local administrative community within the city of Pasig in Metro Manila, Philippines.
-
D.
Barangay Rosario
Barangay Rosario is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
-
E.
Barangay Sto. Tomas
Barangay Sto. Tomas is a local administrative barangay within the highly urbanized city of Pasig 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: Barangay San Nicolas Triple: [Pasig, hasDistrict, Barangay San Nicolas]
Generated description
Barangay San Nicolas is a local administrative community within the highly urbanized city of Pasig in Metro Manila, Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barangay San Nicolas Target entity description: Barangay San Nicolas is a local administrative community within the highly urbanized city of Pasig in Metro Manila, Philippines.
-
A.
Barangay San Miguel
Barangay San Miguel is a local administrative community within the city of Pasig in Metro Manila, Philippines.
-
B.
Barangay San Antonio
Barangay San Antonio is a primarily residential and commercial barangay in Pasig City, Metro Manila, known for its urban communities and proximity to major business districts.
-
C.
Barangay San Joaquin
Barangay San Joaquin is a local administrative community within the city of Pasig in Metro Manila, Philippines.
-
D.
Barangay Rosario
Barangay Rosario is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
-
E.
Barangay Sto. Tomas
Barangay Sto. Tomas is a local administrative barangay within the highly urbanized city of Pasig 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_69b3454662a481908fbcd0bbfaa3a0a4 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35152bfc88190ab5d53ca38f98d8a |
completed | March 12, 2026, 11:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd7f60b49481908b2199544868769c |
completed | March 20, 2026, 5:09 p.m. |
| NEDg | Description generation | batch_69bd84bae7148190ae201ea5257dd43e |
completed | March 20, 2026, 5:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd857181e4819086b7d0b493fbb9a3 |
completed | March 20, 2026, 5:35 p.m. |
Created at: March 12, 2026, 11:14 p.m.