Triple
T15353278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naha Otsunahiki |
E367106
|
entity |
| Predicate | heldIn |
P2777
|
FINISHED |
| Object |
Route 58
Route 58 is a major highway running through Okinawa, Japan, serving as a key transportation artery that connects several cities and coastal areas on the island.
|
E1155667
|
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: Route 58 | Statement: [Naha Otsunahiki, heldIn, Route 58]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 58 Context triple: [Naha Otsunahiki, heldIn, Route 58]
-
A.
Route 52
Route 52 is a rural highway in New Zealand that links several small communities in the lower North Island.
-
B.
Route 52
Route 52 is a metro line in Amsterdam that forms part of the city’s North–South Line, connecting the northern and southern districts through the city center.
-
C.
Route 38
Route 38 is a state highway in Massachusetts that serves as a regional connector through several communities north of Boston.
-
D.
Route 38
Route 38 is a major east–west state highway in southern New Jersey that serves as a key commercial and commuter corridor through Cherry Hill and surrounding communities.
-
E.
Route 59
Route 59 is a state highway in Connecticut that serves as a regional connector through several towns in the southwestern part of the state.
- 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: Route 58 Triple: [Naha Otsunahiki, heldIn, Route 58]
Generated description
Route 58 is a major highway running through Okinawa, Japan, serving as a key transportation artery that connects several cities and coastal areas on the island.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Route 58 Target entity description: Route 58 is a major highway running through Okinawa, Japan, serving as a key transportation artery that connects several cities and coastal areas on the island.
-
A.
Route 52
Route 52 is a rural highway in New Zealand that links several small communities in the lower North Island.
-
B.
Route 52
Route 52 is a metro line in Amsterdam that forms part of the city’s North–South Line, connecting the northern and southern districts through the city center.
-
C.
Route 38
Route 38 is a state highway in Massachusetts that serves as a regional connector through several communities north of Boston.
-
D.
Route 38
Route 38 is a major east–west state highway in southern New Jersey that serves as a key commercial and commuter corridor through Cherry Hill and surrounding communities.
-
E.
Route 59
Route 59 is a state highway in Connecticut that serves as a regional connector through several towns in the southwestern part of the state.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a6991148190b522684b35c07b1a |
completed | May 9, 2026, 11:28 a.m. |
| NEDg | Description generation | batch_69ff1b3c563481908418411a977df343 |
completed | May 9, 2026, 11:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1c0ad5448190903dc38f78512f3b |
completed | May 9, 2026, 11:35 a.m. |
Created at: April 10, 2026, 3:17 a.m.