Triple
T2634296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Circle line |
E59707
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object |
S7 Stock
S7 Stock is a type of London Underground train used on the Circle and other sub-surface lines, featuring air-conditioning, walk-through carriages, and modern passenger information systems.
|
E283347
|
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: S7 Stock | Statement: [Circle line, rollingStock, S7 Stock]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: S7 Stock Context triple: [Circle line, rollingStock, S7 Stock]
-
A.
S7
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
-
B.
S7
S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
-
C.
S75
S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
-
D.
S7 Priority
S7 Priority is the frequent flyer loyalty program of Russian carrier S7 Airlines, offering members tiered status levels, mileage accrual, and various travel benefits.
-
E.
UP-78
UP-78 is the vehicle registration code assigned to motor vehicles registered in Kanpur, Uttar Pradesh, India.
- 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: S7 Stock Triple: [Circle line, rollingStock, S7 Stock]
Generated description
S7 Stock is a type of London Underground train used on the Circle and other sub-surface lines, featuring air-conditioning, walk-through carriages, and modern passenger information systems.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: S7 Stock Target entity description: S7 Stock is a type of London Underground train used on the Circle and other sub-surface lines, featuring air-conditioning, walk-through carriages, and modern passenger information systems.
-
A.
S7
S7 is a Berlin S-Bahn rapid transit line that runs across the city, connecting key districts between Potsdam and Ahrensfelde.
-
B.
S7
S7 is the IATA airline designator for S7 Airlines, a major Russian carrier based in Novosibirsk.
-
C.
S75
S75 is a line of the Berlin S-Bahn urban rail network serving routes within the Berlin metropolitan area.
-
D.
S7 Priority
S7 Priority is the frequent flyer loyalty program of Russian carrier S7 Airlines, offering members tiered status levels, mileage accrual, and various travel benefits.
-
E.
UP-78
UP-78 is the vehicle registration code assigned to motor vehicles registered in Kanpur, Uttar Pradesh, India.
- 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_69ab4ac8596c8190b34997e73d9e991c |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8def9bc8190b2e013abffc7b191 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af90ac94d48190b3138abac9934ec8 |
completed | March 10, 2026, 3:31 a.m. |
| NEDg | Description generation | batch_69af91625bd481908d3666af3cd3733f |
completed | March 10, 2026, 3:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69af91f9e1208190aa149c9afc84911c |
completed | March 10, 2026, 3:37 a.m. |
Created at: March 6, 2026, 9:50 p.m.