Triple
T17147078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Cebu |
E416117
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Port of Manila |
E251500
|
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: Port of Manila | Statement: [Port of Cebu, connectsTo, Port of Manila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Manila Context triple: [Port of Cebu, connectsTo, Port of Manila]
-
A.
Port of Manila
chosen
The Port of Manila is the Philippines’ largest and busiest seaport, serving as the primary international gateway for the country’s maritime trade and cargo traffic.
-
B.
Port of Cebu
The Port of Cebu is a major maritime gateway and commercial hub in the central Philippines, serving as a key center for cargo and passenger traffic in the Visayas region.
-
C.
Cavite City Port
Cavite City Port is a coastal seaport in Cavite City, Philippines, serving as a local hub for maritime transport, fishing, and trade in Manila Bay.
-
D.
Port of Davao
The Port of Davao is one of the Philippines’ busiest and most important seaports, serving as a key gateway for trade and commerce in the southern island of Mindanao.
-
E.
Port of Batangas
The Port of Batangas is a major seaport in the Philippines serving as a key hub for passenger ferries, cargo shipping, and roll-on/roll-off (RoRo) operations in southern Luzon.
- 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_69d886d15af4819092f92f8a129763e6 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f2db20d48190b5d69ccf89f3bc42 |
completed | April 18, 2026, 9:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170e362048190beb72cd6aab496fb |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:36 a.m.