Triple
T1916138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nagaland |
E40020
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Longleng
Longleng is a town and administrative center in the northeastern Indian state of Nagaland, known as the headquarters of Longleng district.
|
E216402
|
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: Longleng | Statement: [Nagaland, hasCity, Longleng]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Longleng Context triple: [Nagaland, hasCity, Longleng]
-
A.
Langho
Langho is a village in Lancashire, England, situated within the rural borough of Ribble Valley.
-
B.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
C.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
D.
Zhenjin
Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
-
E.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
- 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: Longleng Triple: [Nagaland, hasCity, Longleng]
Generated description
Longleng is a town and administrative center in the northeastern Indian state of Nagaland, known as the headquarters of Longleng district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Longleng Target entity description: Longleng is a town and administrative center in the northeastern Indian state of Nagaland, known as the headquarters of Longleng district.
-
A.
Langho
Langho is a village in Lancashire, England, situated within the rural borough of Ribble Valley.
-
B.
Changling
Changling is the largest and best-preserved mausoleum within Beijing’s Ming Tombs complex, built for the Yongle Emperor and his empress.
-
C.
Guanggu
Guanggu is a major high-tech development zone in Wuhan, China, known as an innovation hub for the optics and electronics industries.
-
D.
Zhenjin
Zhenjin was the designated heir and favored son of Kublai Khan, known for his Confucian education and role in the early Yuan dynasty’s administration before his premature death.
-
E.
Paihuano
Paihuano is a small town and commune in Chile’s Elqui Valley, known for its clear skies, pisco production, and astrotourism.
- 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_69a8864298748190a2f2fd34f7ef8d77 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb1e517e8819086e4bf5a305aeb25 |
completed | March 7, 2026, 5:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adf3da81308190a49844a8ac2997da |
completed | March 8, 2026, 10:10 p.m. |
| NEDg | Description generation | batch_69adf5d259488190ad105f0083577ecc |
completed | March 8, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adf6264d148190be0daef2be7f920d |
completed | March 8, 2026, 10:20 p.m. |
Created at: March 4, 2026, 7:35 p.m.