Triple
T7841285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sukabumi |
E181808
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object | Pelabuhan Ratu |
E162594
|
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: Pelabuhan Ratu | Statement: [Sukabumi, isNear, Pelabuhan Ratu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pelabuhan Ratu Context triple: [Sukabumi, isNear, Pelabuhan Ratu]
-
A.
Pelabuhan Ratu
chosen
Pelabuhan Ratu is a coastal town and bay in West Java, Indonesia, known for its scenic beaches, strong surf, and local fishing culture.
-
B.
Bandar Lengeh
Bandar Lengeh is a coastal city and important maritime port on the Persian Gulf in southern Iran’s Hormozgan Province.
-
C.
Port of Banten
The Port of Banten was a major Southeast Asian trading harbor that served as a key commercial hub for the Sultanate of Banten, connecting regional and international maritime trade routes.
-
D.
Port of Bengkulu
The Port of Bengkulu is a key Indonesian seaport on the west coast of Sumatra that handles regional trade and supports the economic activities of the city and province of Bengkulu.
-
E.
Belawan Port
Belawan Port is a major seaport and key maritime gateway for the city of Medan and the surrounding region in North Sumatra, Indonesia.
- 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_69ca8285d6488190a95d4c02d7354b53 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb14c6cbe48190b73df491de1004c3 |
completed | March 31, 2026, 12:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5ad44ff081908954395aef6ac78b |
completed | March 31, 2026, 5:25 a.m. |
Created at: March 30, 2026, 4:47 p.m.