Triple
T20101048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Lille Metro) |
E496538
|
entity |
| Predicate | rollingStock |
P1305
|
FINISHED |
| Object |
VAL 206
VAL 206 is a type of automated light metro train used on systems such as the Lille Metro’s Line 2.
|
E1411665
|
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: VAL 206 | Statement: [Line 2 (Lille Metro), rollingStock, VAL 206]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VAL 206 Context triple: [Line 2 (Lille Metro), rollingStock, VAL 206]
-
A.
VAL 208
VAL 208 is a type of fully automated, rubber-tyred light metro train used on systems such as the Turin Metro.
-
B.
VA261
VA261 was the final mission of the Ariane 5 ECA heavy-lift launch vehicle, marking the end of Ariane 5’s operational service.
-
C.
VALIC
VALIC is a financial services company specializing in retirement planning and annuity products, operating as a brand of American International Group (AIG).
-
D.
VF-6
VF-6 is a designation commonly used for a U.S. Navy fighter squadron, historically associated with carrier-based aviation units.
-
E.
Vale
Vale is a major global mining company known for producing iron ore, nickel, and other minerals, with significant operations in the Sudbury Basin in Canada.
- 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: VAL 206 Triple: [Line 2 (Lille Metro), rollingStock, VAL 206]
Generated description
VAL 206 is a type of automated light metro train used on systems such as the Lille Metro’s Line 2.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VAL 206 Target entity description: VAL 206 is a type of automated light metro train used on systems such as the Lille Metro’s Line 2.
-
A.
VAL 208
VAL 208 is a type of fully automated, rubber-tyred light metro train used on systems such as the Turin Metro.
-
B.
VA261
VA261 was the final mission of the Ariane 5 ECA heavy-lift launch vehicle, marking the end of Ariane 5’s operational service.
-
C.
VALIC
VALIC is a financial services company specializing in retirement planning and annuity products, operating as a brand of American International Group (AIG).
-
D.
VF-6
VF-6 is a designation commonly used for a U.S. Navy fighter squadron, historically associated with carrier-based aviation units.
-
E.
Vale
Vale is a major global mining company known for producing iron ore, nickel, and other minerals, with significant operations in the Sudbury Basin in Canada.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666ff4008190ae1eec907c89bd3b |
completed | April 20, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0827109f0081909747fb28dc439f77 |
completed | May 16, 2026, 8:13 a.m. |
| NEDg | Description generation | batch_6a0829a3a35881909505c9927563e646 |
completed | May 16, 2026, 8:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a082a26bff48190ab78612dfebc99d9 |
completed | May 16, 2026, 8:26 a.m. |
Created at: April 11, 2026, 11:26 p.m.