Triple
T50739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amsterdam Stock Exchange |
E994
|
entity |
| Predicate | keyIndex |
P2918
|
FINISHED |
| Object |
AMX
AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
|
E4266
|
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: AMX | Statement: [Amsterdam Stock Exchange, keyIndex, AMX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMX Context triple: [Amsterdam Stock Exchange, keyIndex, AMX]
-
A.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
-
B.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
C.
Armor Branch
The Armor Branch is the United States Army’s combat arms branch responsible for armored and cavalry forces, specializing in tank and mechanized warfare.
-
D.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
E.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
- 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: AMX Triple: [Amsterdam Stock Exchange, keyIndex, AMX]
Generated description
AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: AMX Target entity description: AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
-
A.
AMTK
AMTK is the reporting mark used by Amtrak, the United States’ national passenger railroad service, to identify its locomotives and rolling stock.
-
B.
Blitz
The Blitz was the sustained German bombing campaign against the United Kingdom, particularly London, during 1940–1941 in World War II.
-
C.
Armor Branch
The Armor Branch is the United States Army’s combat arms branch responsible for armored and cavalry forces, specializing in tank and mechanized warfare.
-
D.
Ventra
Ventra is the contactless fare payment system used across Chicago’s public transit network, including buses and trains.
-
E.
GAU
GAU is an abbreviation commonly used for the University of Göttingen, a major research university in Göttingen, Germany.
- 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_69a2480baefc81909951b14058479aa2 |
completed | Feb. 28, 2026, 1:42 a.m. |
| NER | Named-entity recognition | batch_69a24ec333fc8190b66776b947e0bdbd |
completed | Feb. 28, 2026, 2:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a255381a7c8190a48bee7032c622bb |
completed | Feb. 28, 2026, 2:38 a.m. |
| NEDg | Description generation | batch_69a255df7a1081909d709a7b507e0035 |
completed | Feb. 28, 2026, 2:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a256a5649c8190a964820ca25cd00b |
completed | Feb. 28, 2026, 2:44 a.m. |
Created at: Feb. 28, 2026, 1:47 a.m.