Triple
T9205613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anambas Islands |
E220968
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object |
Tarempa
Tarempa is the main town and hub of government, commerce, and transportation in Indonesia’s Anambas Islands.
|
E785858
|
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: Tarempa | Statement: [Anambas Islands, administrativeCenter, Tarempa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarempa Context triple: [Anambas Islands, administrativeCenter, Tarempa]
-
A.
Ometo
Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
-
B.
Pampangan
Pampangan is an alternative name for Kapampangan, an Austronesian language and ethnolinguistic group native to the Pampanga region in the Philippines.
-
C.
Tamahaq
Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
-
D.
Waynoka
Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
-
E.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
- 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: Tarempa Triple: [Anambas Islands, administrativeCenter, Tarempa]
Generated description
Tarempa is the main town and hub of government, commerce, and transportation in Indonesia’s Anambas Islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarempa Target entity description: Tarempa is the main town and hub of government, commerce, and transportation in Indonesia’s Anambas Islands.
-
A.
Ometo
Ometo is another name for the Wolaytta language, an Omotic language spoken primarily in southwestern Ethiopia.
-
B.
Pampangan
Pampangan is an alternative name for Kapampangan, an Austronesian language and ethnolinguistic group native to the Pampanga region in the Philippines.
-
C.
Tamahaq
Tamahaq is a Berber (Amazigh) language traditionally spoken by the Tuareg people of the central Sahara.
-
D.
Waynoka
Waynoka is a small city in northwestern Oklahoma known historically as a railroad hub and as a gateway to the nearby Little Sahara State Park sand dunes.
-
E.
Tanasi
Tanasi was a historic Overhill Cherokee town in present-day Tennessee that gave the state its name and served as an early political center for the Cherokee.
- 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_69ca83e8e9248190862cf3e41693b310 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccd947a0a08190966f22a6207c9120 |
completed | April 1, 2026, 8:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d065e09fbc81908159b386038b3d73 |
completed | April 4, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_69d0676ea53c81908b16dfce6810f6b0 |
completed | April 4, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0684c1a108190bc7fdfdced16e24c |
completed | April 4, 2026, 1:24 a.m. |
Created at: March 30, 2026, 7:26 p.m.