Triple
T21086201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Merak |
E519494
|
entity |
| Predicate | oppositeShore |
P382
|
FINISHED |
| Object | Bakauheni |
—
|
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: Bakauheni | Statement: [Port of Merak, oppositeShore, Bakauheni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakauheni Context triple: [Port of Merak, oppositeShore, Bakauheni]
-
A.
Bakauheni
chosen
Bakauheni is a major port town in southern Sumatra, Indonesia, serving as a key ferry gateway between Sumatra and Java.
-
B.
Bakauheni Port
Bakauheni Port is a major ferry and logistics hub in southern Sumatra, Indonesia, serving as a primary gateway between Sumatra and Java and supporting significant regional trade and transportation.
-
C.
Bandar Lengeh
Bandar Lengeh is a coastal city and important maritime port on the Persian Gulf in southern Iran’s Hormozgan Province.
-
D.
Port of Bima
Port of Bima is a regional seaport in Bima, on the island of Sumbawa in Indonesia, serving as a key hub for passenger and cargo transport in the surrounding area.
-
E.
Pelabuhan Ratu
Pelabuhan Ratu is a coastal town and bay in West Java, Indonesia, known for its scenic beaches, strong surf, and local fishing culture.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094ad1c08190a4b9d2668a6362b2 |
completed | April 21, 2026, 5:21 a.m. |
Created at: April 16, 2026, 2:50 p.m.