Triple
T1486837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jakarta |
E29483
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
Sunda Kelapa
Sunda Kelapa is the historic old port area of Jakarta, Indonesia, known as a key trading hub in the region since precolonial times.
|
E169807
|
NE FINISHED |
How this triple was built (4 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: Sunda Kelapa | Statement: [Jakarta, formerName, Sunda Kelapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sunda Kelapa Context triple: [Jakarta, formerName, Sunda Kelapa]
-
A.
Tanjung Priok
Tanjung Priok is Indonesia’s busiest and largest seaport, serving as the main maritime gateway to Jakarta and the island of Java.
-
B.
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.
-
C.
Port of Tanjung Emas
The Port of Tanjung Emas is the main seaport serving Semarang and Central Java, Indonesia, handling regional cargo and passenger traffic along the northern coast of Java.
-
D.
Batam Port
Batam Port is a major Indonesian seaport on Batam Island that serves as a key maritime and logistics hub near the Singapore Strait.
-
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. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sunda Kelapa Triple: [Jakarta, formerName, Sunda Kelapa]
Generated description
Sunda Kelapa is the historic old port area of Jakarta, Indonesia, known as a key trading hub in the region since precolonial times.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sunda Kelapa Target entity description: Sunda Kelapa is the historic old port area of Jakarta, Indonesia, known as a key trading hub in the region since precolonial times.
-
A.
Tanjung Priok
Tanjung Priok is Indonesia’s busiest and largest seaport, serving as the main maritime gateway to Jakarta and the island of Java.
-
B.
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.
-
C.
Port of Tanjung Emas
The Port of Tanjung Emas is the main seaport serving Semarang and Central Java, Indonesia, handling regional cargo and passenger traffic along the northern coast of Java.
-
D.
Batam Port
Batam Port is a major Indonesian seaport on Batam Island that serves as a key maritime and logistics hub near the Singapore Strait.
-
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. chosen
Provenance (5 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_69a498da82e08190ba833330d05f380f |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6a3325881909bbc55efc04ad60f |
completed | March 1, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15b5aa348190bf6d7a3177eacaff |
completed | March 8, 2026, 6:22 a.m. |
| NEDg | Description generation | batch_69ad192ac37c819081aa4bb32e3564d8 |
completed | March 8, 2026, 6:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad19ab136081909c52731e346f2efb |
completed | March 8, 2026, 6:39 a.m. |
Created at: March 1, 2026, 8:12 p.m.