Triple
T17769600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lungsod ng Pasig |
E443596
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Barangay Sta. Rosa |
—
|
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 Sta. Rosa | Statement: [Lungsod ng Pasig, contains, Barangay Sta. Rosa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barangay Sta. Rosa Context triple: [Lungsod ng Pasig, contains, Barangay Sta. Rosa]
-
A.
Barangay Sta. Rosa
chosen
Barangay Sta. Rosa is a local administrative barangay within the highly urbanized city of Pasig in Metro Manila, Philippines.
-
B.
Barangay Rosario
Barangay Rosario is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
-
C.
Barangay Sto. Tomas
Barangay Sto. Tomas is a local administrative barangay within the highly urbanized city of Pasig in Metro Manila, Philippines.
-
D.
Barangay Sta. Cruz
Barangay Sta. Cruz is a residential and commercial barangay in the city of Pasig in Metro Manila, Philippines.
-
E.
Barangay Milagrosa
Barangay Milagrosa is a local administrative village within the municipality of Carmona in the province of Cavite, 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.