Triple
T11953725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surigao del Sur |
E284494
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object | Bislig |
E241372
|
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: Bislig | Statement: [Surigao del Sur, hasCity, Bislig]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bislig Context triple: [Surigao del Sur, hasCity, Bislig]
-
A.
Bislig
chosen
Bislig is a coastal city in the Caraga region of Mindanao in the Philippines, known for its proximity to the Tinuy-an Falls and its history as a former major paper-mill town.
-
B.
Marawila
Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
-
C.
Dauis
Dauis is a coastal municipality on Panglao Island in Bohol, Philippines, known for its historic church, beaches, and proximity to popular dive sites.
-
D.
Balangingi Sama
Balangingi Sama is a regional dialect of the Sama language spoken by the Sama-Bangingi people, traditionally associated with the Sulu Archipelago in the southern Philippines.
-
E.
Sarangani
Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90365da288190a132703df563de23 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471c931a88190a9d29262c62b9472 |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.