Triple
T6939530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uruca |
E160637
|
entity |
| Predicate | roadJunctionOf |
P6234
|
FINISHED |
| Object |
Route 108
Route 108 is a regional road that passes through the district of Uruca, serving as part of the local transportation network.
|
E630878
|
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 108 | Statement: [Uruca, roadJunctionOf, Route 108]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Route 108 Context triple: [Uruca, roadJunctionOf, Route 108]
-
A.
Route 107
Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
-
B.
Route 107
Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
-
C.
Route 110
Route 110 is a poem by Seamus Heaney that reimagines episodes from Homer’s Odyssey within the landscapes and experiences of modern Ireland.
-
D.
Route 10
Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
-
E.
Route 17
Route 17 is a state highway designation in Massachusetts used for a specific segment of roadway within the state's numbered route system.
- 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 108 Triple: [Uruca, roadJunctionOf, Route 108]
Generated description
Route 108 is a regional road that passes through the district of Uruca, serving as part of the local transportation network.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Route 108 Target entity description: Route 108 is a regional road that passes through the district of Uruca, serving as part of the local transportation network.
-
A.
Route 107
Route 107 is a state highway in Massachusetts that runs through cities such as Revere and Lynn, serving as a key north–south arterial route north of Boston.
-
B.
Route 107
Route 107 is a state highway in southwestern Connecticut that serves as a local connector through towns such as Redding and Georgetown.
-
C.
Route 110
Route 110 is a poem by Seamus Heaney that reimagines episodes from Homer’s Odyssey within the landscapes and experiences of modern Ireland.
-
D.
Route 10
Route 10 is a SEPTA subway–surface trolley line in Philadelphia that provides light rail service between Center City and the city’s western neighborhoods.
-
E.
Route 17
Route 17 is a state highway designation in Massachusetts used for a specific segment of roadway within the state's numbered route system.
- 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_69c6884f3db4819080ad65da69386206 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6da641ce08190a133c9ba4977755d |
completed | March 27, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75861cd548190a215d616b68101d9 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c759b6e0b48190a29c151bb3ce5165 |
completed | March 28, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c759fc5ea88190837bed8ab37a920b |
completed | March 28, 2026, 4:33 a.m. |
Created at: March 27, 2026, 2:28 p.m.