Triple
T18738534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bandung–Garut railway |
E458229
|
entity |
| Predicate | servedSettlement |
P2741
|
FINISHED |
| Object |
Nagreg
Nagreg is a subdistrict in West Java, Indonesia, known as a transit area along the route between Bandung and Garut.
|
E1340122
|
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: Nagreg | Statement: [Bandung–Garut railway, servedSettlement, Nagreg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nagreg Context triple: [Bandung–Garut railway, servedSettlement, Nagreg]
-
A.
Nagdar
Nagdar is a small village located within Pakistan’s scenic Neelum Valley in Azad Kashmir.
-
B.
Nagu
Nagu is an island and former municipality in the Turku archipelago of southwestern Finland, known for its coastal scenery and popular boating and summer tourism.
-
C.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
D.
Nagapasha
Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
-
E.
Nag
Nag is a deadly male cobra and primary antagonist in Rudyard Kipling’s short story “Rikki-Tikki-Tavi,” plotting with his mate Nagaina to kill the human family and their mongoose protector.
- 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: Nagreg Triple: [Bandung–Garut railway, servedSettlement, Nagreg]
Generated description
Nagreg is a subdistrict in West Java, Indonesia, known as a transit area along the route between Bandung and Garut.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nagreg Target entity description: Nagreg is a subdistrict in West Java, Indonesia, known as a transit area along the route between Bandung and Garut.
-
A.
Nagdar
Nagdar is a small village located within Pakistan’s scenic Neelum Valley in Azad Kashmir.
-
B.
Nagu
Nagu is an island and former municipality in the Turku archipelago of southwestern Finland, known for its coastal scenery and popular boating and summer tourism.
-
C.
Naju
Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
-
D.
Nagapasha
Nagapasha is a mythical serpent-noose weapon from Hindu epics, famed for binding its targets with powerful, inescapable snake bonds.
-
E.
Nag
Nag is a deadly male cobra and primary antagonist in Rudyard Kipling’s short story “Rikki-Tikki-Tavi,” plotting with his mate Nagaina to kill the human family and their mongoose protector.
- 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5768ca990819098102f8522ce401f |
completed | April 20, 2026, 12:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a053263e33c8190be79ec131d15c3fa |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a053410a8188190992d9fa6130ab372 |
completed | May 14, 2026, 2:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05349009e481909fb757415468aa70 |
completed | May 14, 2026, 2:33 a.m. |
Created at: April 10, 2026, 11:51 a.m.