Triple
T7496395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hinsdale station |
E177139
|
entity |
| Predicate | fareZone |
P844
|
FINISHED |
| Object |
Zone D
Zone D is a designated commuter rail fare zone used to determine ticket prices for travel to and from Hinsdale station.
|
E668567
|
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: Zone D | Statement: [Hinsdale station, fareZone, Zone D]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zone D Context triple: [Hinsdale station, fareZone, Zone D]
-
A.
Zone G
Zone G is a designated fare zone within the Glasgow Subway ticketing system that includes Kelvinbridge subway station.
-
B.
Zone 5
Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
-
C.
Zone 1
Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
-
D.
Zone L (Guthrie classification)
Zone L in the Guthrie classification is a group of closely related Bantu languages centered around Tshiluba and its dialects in south-central Africa.
-
E.
Zone 1A
Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
- 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: Zone D Triple: [Hinsdale station, fareZone, Zone D]
Generated description
Zone D is a designated commuter rail fare zone used to determine ticket prices for travel to and from Hinsdale station.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zone D Target entity description: Zone D is a designated commuter rail fare zone used to determine ticket prices for travel to and from Hinsdale station.
-
A.
Zone G
Zone G is a designated fare zone within the Glasgow Subway ticketing system that includes Kelvinbridge subway station.
-
B.
Zone 5
Zone 5 is an outer fare zone in the London public transport system used for calculating ticket and Travelcard prices.
-
C.
Zone 1
Zone 1 is the central London public transport fare zone that covers the city’s main commercial, tourist, and historic areas.
-
D.
Zone L (Guthrie classification)
Zone L in the Guthrie classification is a group of closely related Bantu languages centered around Tshiluba and its dialects in south-central Africa.
-
E.
Zone 1A
Zone 1A is a central MBTA subway fare zone in Boston that includes Park Street station and other core downtown stops.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f57c86948190aa8ee765bd497850 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8686cc8190bb1f7b09cdbebcf7 |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83e31d54c8190aed9279181f1db2b |
completed | March 28, 2026, 8:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c83ef9ce408190907a62c9d0a6dc16 |
completed | March 28, 2026, 8:50 p.m. |
Created at: March 27, 2026, 3:43 p.m.