Triple
T3107461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namdrik Atoll |
E64866
|
entity |
| Predicate | capitalOfAtoll |
P42424
|
FINISHED |
| Object |
Namdrik
Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
|
E326892
|
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: Namdrik | Statement: [Namdrik Atoll, capitalOfAtoll, Namdrik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Namdrik Context triple: [Namdrik Atoll, capitalOfAtoll, Namdrik]
-
A.
Nyishi
The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
-
B.
Nadym
Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
-
C.
Aldan
Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
-
D.
Tingri
Tingri is a small Tibetan town in China’s Tibet Autonomous Region, known as a gateway and staging point for expeditions to nearby Himalayan peaks including Mount Everest and Cho Oyu.
-
E.
Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
- 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: Namdrik Triple: [Namdrik Atoll, capitalOfAtoll, Namdrik]
Generated description
Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Namdrik Target entity description: Namdrik is a small inhabited atoll in the Marshall Islands known for its lagoon, traditional Marshallese culture, and copra production.
-
A.
Nyishi
The Nyishi are one of the major indigenous tribes of northeastern India, known for their distinct language, traditional bamboo and cane craftsmanship, and rich cultural heritage.
-
B.
Nadym
Nadym is a town in the Yamalo-Nenets Autonomous Okrug of Russia, known as a regional center for the natural gas industry and served by its own airport.
-
C.
Aldan
Aldan is a mining town in Russia’s Sakha Republic known for its significant gold deposits and remote Siberian location.
-
D.
Tingri
Tingri is a small Tibetan town in China’s Tibet Autonomous Region, known as a gateway and staging point for expeditions to nearby Himalayan peaks including Mount Everest and Cho Oyu.
-
E.
Nobsa
Nobsa is a Colombian town known for its traditional wool textiles and crafts, located in the Boyacá Department.
- 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada29d4aa8819093287bc71370fc05 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2038c89248190b880108c82ad35b1 |
completed | March 12, 2026, 12:06 a.m. |
| NEDg | Description generation | batch_69b2046f76488190adef6685544b080e |
completed | March 12, 2026, 12:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2054bca388190ad40b2303ac96373 |
completed | March 12, 2026, 12:14 a.m. |
Created at: March 8, 2026, 3:04 p.m.