Triple
T13319657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morong, Bataan |
E317281
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Sabang |
E1033621
|
NE FINISHED |
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: Sabang | Statement: [Morong, Bataan, hasBarangay, Sabang]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabang Context triple: [Morong, Bataan, hasBarangay, Sabang]
-
A.
Sabang
Sabang is a coastal barangay in Baler, Aurora, Philippines, known for its surfing beaches and tourism.
-
B.
Sabang
chosen
Sabang is a barangay (village-level administrative division) located in the municipality of Morong in the province of Bataan, Philippines.
-
C.
Banda Aceh
Banda Aceh is the largest city in Indonesia’s Aceh province, known as a historic center of Islamic culture and for being one of the areas hardest hit by the 2004 Indian Ocean tsunami.
-
D.
Labuan
Labuan is a coastal town in Banten, western Java, Indonesia, known as a gateway to nearby natural attractions and marine tourism areas.
-
E.
Labuan
Labuan is a federal territory of Malaysia comprising a main island and several smaller ones, known as an offshore financial center and duty-free port off the coast of Borneo.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806b4d62c81908d4ced1665414be5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990faa95481908a7fd297959c062e |
completed | April 11, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f71f2a8ba88190a59bc4840ec8ad13 |
completed | May 3, 2026, 10:10 a.m. |
Created at: April 9, 2026, 9:29 p.m.