Triple
T21700434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Zamboanga |
E535640
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Jolo |
—
|
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: Jolo | Statement: [Port of Zamboanga, connectsTo, Jolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jolo Context triple: [Port of Zamboanga, connectsTo, Jolo]
-
A.
Jolo
chosen
Jolo is a historically significant island and town in the Sulu Archipelago of the southern Philippines, known as a cultural and commercial center of the Tausug people.
-
B.
Dipolog
Dipolog is a coastal city in the Zamboanga Peninsula region of the southern Philippines, known as the "Bottled Sardines Capital of the Philippines."
-
C.
Busuanga
Busuanga is a rural municipality in the Calamian Islands of northern Palawan, Philippines, known for its scenic coastal landscapes, islands, and marine biodiversity.
-
D.
Basilan
Basilan is an island province in the southern Philippines known for its predominantly Muslim population, strategic location in the Sulu Archipelago, and history of both cultural diversity and security challenges.
-
E.
Puerto Galera
Puerto Galera is a popular coastal resort town in the Philippines known for its white-sand beaches, diving spots, and vibrant nightlife.
- 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_69e0c46b44c0819088ab883ebd44e0e8 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef9b7edd3c8190bca83ef37598cbfb |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 16, 2026, 6:45 p.m.