Triple
T4460299
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lahaul and Spiti district |
E98234
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Sissu
Sissu is a small scenic village in the Lahaul region of Himachal Pradesh, India, known for its picturesque landscapes, waterfalls, and as a popular stop along the Manali–Leh highway.
|
E443103
|
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: Sissu | Statement: [Lahaul and Spiti district, contains, Sissu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sissu Context triple: [Lahaul and Spiti district, contains, Sissu]
-
A.
Sheba
Sheba is a biblical figure traditionally associated with a people or kingdom in the ancient Near East, often linked to the famed Queen of Sheba.
-
B.
Kissi
Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
-
C.
Nala
Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
-
D.
Ninji
Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
-
E.
Moli
Moli is a settlement located on Choiseul Island in the Solomon Islands.
- 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: Sissu Triple: [Lahaul and Spiti district, contains, Sissu]
Generated description
Sissu is a small scenic village in the Lahaul region of Himachal Pradesh, India, known for its picturesque landscapes, waterfalls, and as a popular stop along the Manali–Leh highway.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sissu Target entity description: Sissu is a small scenic village in the Lahaul region of Himachal Pradesh, India, known for its picturesque landscapes, waterfalls, and as a popular stop along the Manali–Leh highway.
-
A.
Sheba
Sheba is a biblical figure traditionally associated with a people or kingdom in the ancient Near East, often linked to the famed Queen of Sheba.
-
B.
Kissi
Kissi is a West African language spoken primarily by the Kissi people in parts of Guinea, Sierra Leone, and Liberia.
-
C.
Nala
Nala is a courageous lioness from Disney's "The Lion King," known as Simba's childhood friend and later queen of the Pride Lands.
-
D.
Ninji
Ninji is a small, black, ninja-like creature from the Super Mario series known for its leaping attacks and appearances as a recurring enemy.
-
E.
Moli
Moli is a settlement located on Choiseul Island in the Solomon Islands.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35673337c8190b923159791ec27e3 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6284431c48190aa1553ff89f2239f |
completed | March 15, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69b629532cac8190b959adc0ef13305a |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62d9c287c8190a305f9d21517f913 |
completed | March 15, 2026, 3:55 a.m. |
Created at: March 12, 2026, 11:33 p.m.