Triple
T11109384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daanbantayan |
E262714
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Maya Port |
E562615
|
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: Maya Port | Statement: [Daanbantayan, hasPort, Maya Port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maya Port Context triple: [Daanbantayan, hasPort, Maya Port]
-
A.
Maya Port
chosen
Maya Port is a small ferry terminal in northern Cebu, Philippines, serving as the main jump-off point for boats traveling to Malapascua Island.
-
B.
Naha Port
Naha Port is a major seaport in Naha, Okinawa, serving as a key hub for passenger ferries, cargo shipping, and cruise ships in Japan’s Ryukyu Islands.
-
C.
Kada Port
Kada Port is a coastal harbor in Wakayama, Japan, serving as the main departure point for ferries to the nearby Tomogashima Islands.
-
D.
Velas
Velas is a coastal town and municipality on São Jorge Island in Portugal’s Azores archipelago, known for its dramatic cliffs, natural pools, and traditional Azorean architecture.
-
E.
Mwanza Port
Mwanza Port is a major Tanzanian inland port on Lake Victoria that serves as a key hub for regional transport and trade in the Mwanza area.
- 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_69d6aa9b46cc8190b19f9f0cc45bf322 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79a6896c0819082685b5b4600d158 |
completed | April 9, 2026, 12:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d72f8f48190a7414119a6be9d5e |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.