Triple
T1835721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mercury Montego |
E41061
|
entity |
| Predicate | trimLevel |
P11486
|
FINISHED |
| Object |
MX
MX is a specific trim level designation used for the Mercury Montego sedan, denoting a particular configuration of features and equipment.
|
E205203
|
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: MX | Statement: [Mercury Montego, trimLevel, MX]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MX Context triple: [Mercury Montego, trimLevel, MX]
-
A.
MX
MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
-
B.
MAX
MAX is a family of low-cost, high-density CPLD (Complex Programmable Logic Device) products developed by Altera for implementing customizable digital logic functions.
-
C.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
-
D.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
E.
MF
MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
- 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: MX Triple: [Mercury Montego, trimLevel, MX]
Generated description
MX is a specific trim level designation used for the Mercury Montego sedan, denoting a particular configuration of features and equipment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MX Target entity description: MX is a specific trim level designation used for the Mercury Montego sedan, denoting a particular configuration of features and equipment.
-
A.
MX
MX is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Mexico in international standards and systems.
-
B.
MAX
MAX is a family of low-cost, high-density CPLD (Complex Programmable Logic Device) products developed by Altera for implementing customizable digital logic functions.
-
C.
MZ
MZ is the two-letter ISO 3166-1 alpha-2 country code assigned to Mozambique.
-
D.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
E.
MF
MF is the two-letter IATA airline designator assigned to XiamenAir, a major Chinese carrier based in Xiamen.
- 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_69a88647f9388190909bc36e795bdaec |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb028226481908558c11449e1d6b6 |
completed | March 7, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adc9b6dc9481908a83e60aee326bc4 |
completed | March 8, 2026, 7:10 p.m. |
| NEDg | Description generation | batch_69adcaef04e88190a88f789a6370bafb |
completed | March 8, 2026, 7:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adcb8e053c819082a3d4b36afe35be |
completed | March 8, 2026, 7:18 p.m. |
Created at: March 4, 2026, 7:33 p.m.