Triple
T1144065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XAMS |
E23522
|
entity |
| Predicate | relatedIndex |
P5158
|
FINISHED |
| Object | AMX |
E4266
|
NE FINISHED |
How this triple was built (2 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: [XAMS, relatedIndex, AMX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AMX Context triple: [XAMS, relatedIndex, AMX]
-
A.
AMX
chosen
AMX is a Dutch stock market index that tracks the performance of mid-cap companies listed on Euronext Amsterdam.
-
B.
Maxus
Maxus is a commercial vehicle brand known for producing vans, pickups, and light trucks, owned by the Chinese automotive giant SAIC Motor.
-
C.
AMRO
AMRO is the World Health Organization’s Regional Office responsible for public health leadership and coordination across the Americas.
-
D.
Abrams
Abrams is a common English-language surname borne by various notable individuals across fields such as entertainment, politics, and the military.
-
E.
IM Motors
IM Motors is a Chinese premium electric vehicle brand known for its smart, tech-focused cars developed under SAIC Motor.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a493ef399c8190b04b9146d2314f59 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc5008d8819095c1ffb5db5b4911 |
completed | March 1, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59b31ed08190a1647af9af1f2648 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:44 p.m.