Triple
T17769586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lungsod ng Pasig |
E443596
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Barangay San Antonio |
—
|
NE NERFINISHED |
How this triple was built (2 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 Antonio | Statement: [Lungsod ng Pasig, contains, Barangay San Antonio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barangay San Antonio Context triple: [Lungsod ng Pasig, contains, Barangay San Antonio]
-
A.
Barangay San Antonio
chosen
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.
-
B.
Barangay San Miguel
Barangay San Miguel is a local administrative community within the city of Pasig in Metro Manila, Philippines.
-
C.
Barangay San Vicente
Barangay San Vicente is a local administrative village-level community within the city of Bislig in the Philippines.
-
D.
Barangay San Jose
Barangay San Jose is a local administrative village within the municipality of Carmona in the province of Cavite, Philippines.
-
E.
Barangay San Nicolas
Barangay San Nicolas is a local administrative community within the highly urbanized city of Pasig in Metro Manila, Philippines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9edf16c8190a59ebd245d378f4f |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e485fe70648190b4107e1eabacc694 |
completed | April 19, 2026, 7:36 a.m. |
Created at: April 10, 2026, 10:11 a.m.