Triple
T7406006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lima Puluh Kota Regency |
E170871
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object |
Sarilamak
Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
|
E662378
|
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: Sarilamak | Statement: [Lima Puluh Kota Regency, capital, Sarilamak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarilamak Context triple: [Lima Puluh Kota Regency, capital, Sarilamak]
-
A.
Sarigan
Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
-
B.
Soppeng
Soppeng is a historical region and former kingdom in South Sulawesi, Indonesia, known for its Bugis culture and role in regional politics.
-
C.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
-
D.
Labasa
Labasa is a major town in northern Fiji on the island of Vanua Levu, known as an important commercial and administrative center for the surrounding sugarcane-growing region.
-
E.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
- 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: Sarilamak Triple: [Lima Puluh Kota Regency, capital, Sarilamak]
Generated description
Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sarilamak Target entity description: Sarilamak is a town in West Sumatra, Indonesia, that serves as the administrative center of Lima Puluh Kota Regency.
-
A.
Sarigan
Sarigan is a small, uninhabited volcanic island in the Northern Mariana Islands known for its active stratovolcano and protected wildlife habitats.
-
B.
Soppeng
Soppeng is a historical region and former kingdom in South Sulawesi, Indonesia, known for its Bugis culture and role in regional politics.
-
C.
Gamosa
Gamosa is a traditional Assamese handwoven cotton cloth, typically white with red borders and motifs, symbolizing respect, cultural identity, and social bonding in Assam.
-
D.
Labasa
Labasa is a major town in northern Fiji on the island of Vanua Levu, known as an important commercial and administrative center for the surrounding sugarcane-growing region.
-
E.
Tigak
Tigak is an Austronesian language of the Meso-Melanesian subgroup spoken primarily in parts of Papua New Guinea.
- 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_69c68a6010108190925e5284de022660 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f275c6e481908b4ce9ff1e418296 |
completed | March 27, 2026, 9:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8111adbf48190a04df3cec1017b39 |
completed | March 28, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69c81455967c81909757f42d976b535c |
completed | March 28, 2026, 5:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c814b413a08190b7e5e85d73ddb430 |
completed | March 28, 2026, 5:49 p.m. |
Created at: March 27, 2026, 3:10 p.m.