Triple
T16692134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Merak |
E405619
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Bakauheni |
E707366
|
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: Bakauheni | Statement: [Merak, connectsTo, Bakauheni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bakauheni Context triple: [Merak, connectsTo, 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.
Bandar Lengeh
Bandar Lengeh is a coastal city and important maritime port on the Persian Gulf in southern Iran’s Hormozgan Province.
-
C.
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.
-
D.
Port of Ambon
The Port of Ambon is a key maritime hub in eastern Indonesia, serving as a major gateway for regional trade, passenger transport, and fisheries around Ambon Island and the Maluku archipelago.
-
E.
Port of Surabaya
The Port of Surabaya is a major Indonesian seaport on the northern coast of Java that serves as a key commercial and shipping hub in the Asia-Pacific region.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37eaacb948190954231c9e97a4adf |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091984dcc8190b0b20d2e57bc3a11 |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.