Triple
T8364322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baliem Valley |
E197087
|
entity |
| Predicate | mainCity |
P3207
|
FINISHED |
| Object |
Wamena
Wamena is the largest town in the central highlands of Papua, Indonesia, serving as a remote cultural and logistical hub for the surrounding indigenous communities.
|
E728000
|
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: Wamena | Statement: [Baliem Valley, mainCity, Wamena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wamena Context triple: [Baliem Valley, mainCity, Wamena]
-
A.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese cultural heritage.
-
B.
Padang Bai
Padang Bai is a small coastal village and port in eastern Bali, Indonesia, known as a gateway to the nearby islands and for its beaches and dive sites.
-
C.
Keningau
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
D.
Sibolga
Sibolga is a coastal city and port on the western coast of Sumatra, Indonesia, known as a gateway to nearby islands and marine tourism areas.
-
E.
Sumbawa Besar
Sumbawa Besar is the main town and administrative center of Sumbawa Island in Indonesia’s West Nusa Tenggara province.
- 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: Wamena Triple: [Baliem Valley, mainCity, Wamena]
Generated description
Wamena is the largest town in the central highlands of Papua, Indonesia, serving as a remote cultural and logistical hub for the surrounding indigenous communities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wamena Target entity description: Wamena is the largest town in the central highlands of Papua, Indonesia, serving as a remote cultural and logistical hub for the surrounding indigenous communities.
-
A.
Bulukumba
Bulukumba is a regency in South Sulawesi, Indonesia, known for its coastal landscapes, traditional boatbuilding, and Makassarese cultural heritage.
-
B.
Padang Bai
Padang Bai is a small coastal village and port in eastern Bali, Indonesia, known as a gateway to the nearby islands and for its beaches and dive sites.
-
C.
Keningau
Keningau is a major inland town and administrative district in the interior region of the Malaysian state of Sabah.
-
D.
Sibolga
Sibolga is a coastal city and port on the western coast of Sumatra, Indonesia, known as a gateway to nearby islands and marine tourism areas.
-
E.
Sumbawa Besar
Sumbawa Besar is the main town and administrative center of Sumbawa Island in Indonesia’s West Nusa Tenggara province.
- 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_69ca82f2dbe48190aba982e75a0d94de |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb808a67f88190849152102bfeb574 |
completed | March 31, 2026, 8:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc78497cc8190a88bb5934f31e1f7 |
completed | April 2, 2026, 1:33 a.m. |
| NEDg | Description generation | batch_69cdcc88456c8190ba8613b4cbf40fbb |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdcd75714881908f0b069a94ee334f |
completed | April 2, 2026, 1:59 a.m. |
Created at: March 30, 2026, 6 p.m.