Triple
T1688815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Himalayan National Park |
E36503
|
entity |
| Predicate | nearestTown |
P350
|
FINISHED |
| Object |
Banjar
Banjar is a small town in Himachal Pradesh, India, known as a gateway to the Great Himalayan National Park and the scenic Tirthan Valley.
|
E191369
|
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: Banjar | Statement: [Great Himalayan National Park, nearestTown, Banjar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Banjar Context triple: [Great Himalayan National Park, nearestTown, Banjar]
-
A.
Banjar
Banjar is a city in the eastern part of West Java, Indonesia, known as a regional transit hub connecting West Java with Central Java.
-
B.
Mangkasar
Mangkasar is the historical name for Makassar, a major port city and cultural center on the island of Sulawesi in Indonesia.
-
C.
Tasikmalaya
Tasikmalaya is a significant city in West Java, Indonesia, known as an important cultural and economic hub for the Sundanese people.
-
D.
Pelabuhan Ratu
Pelabuhan Ratu is a coastal town and bay in West Java, Indonesia, known for its scenic beaches, strong surf, and local fishing culture.
-
E.
Cimahi
Cimahi is an urban city in Indonesia located near Bandung in the province of West Java, known historically as a military and training center.
- 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: Banjar Triple: [Great Himalayan National Park, nearestTown, Banjar]
Generated description
Banjar is a small town in Himachal Pradesh, India, known as a gateway to the Great Himalayan National Park and the scenic Tirthan Valley.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Banjar Target entity description: Banjar is a small town in Himachal Pradesh, India, known as a gateway to the Great Himalayan National Park and the scenic Tirthan Valley.
-
A.
Banjar
Banjar is a city in the eastern part of West Java, Indonesia, known as a regional transit hub connecting West Java with Central Java.
-
B.
Mangkasar
Mangkasar is the historical name for Makassar, a major port city and cultural center on the island of Sulawesi in Indonesia.
-
C.
Tasikmalaya
Tasikmalaya is a significant city in West Java, Indonesia, known as an important cultural and economic hub for the Sundanese people.
-
D.
Pelabuhan Ratu
Pelabuhan Ratu is a coastal town and bay in West Java, Indonesia, known for its scenic beaches, strong surf, and local fishing culture.
-
E.
Cimahi
Cimahi is an urban city in Indonesia located near Bandung in the province of West Java, known historically as a military and training center.
- 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_69a886151508819084fa7f1ce6e05577 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa6296655c8190835ec0d20f7460ca |
completed | March 6, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad7992792081909af4312ae8a448a2 |
completed | March 8, 2026, 1:28 p.m. |
| NEDg | Description generation | batch_69ad7ab4aca48190936384bfa1cdeccf |
completed | March 8, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad7b34c3248190bb93769e55df7189 |
completed | March 8, 2026, 1:35 p.m. |
Created at: March 4, 2026, 7:29 p.m.