Triple
T3380204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Corps Order P1020.34 |
E71163
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
MCO P1020.34
MCO P1020.34 is the U.S. Marine Corps uniform regulations order that prescribes standards for the wear and appearance of Marine Corps uniforms.
|
E353578
|
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: MCO P1020.34 | Statement: [Marine Corps Order P1020.34, shortName, MCO P1020.34]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MCO P1020.34 Context triple: [Marine Corps Order P1020.34, shortName, MCO P1020.34]
-
A.
MCO
MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
-
B.
MCO
MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
-
C.
MCO
MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
-
D.
MCoE
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
-
E.
M-20
M-20 is a state trunkline highway in Michigan that runs east–west across the central part of the state, connecting communities such as Midland to the broader regional road network.
- 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: MCO P1020.34 Triple: [Marine Corps Order P1020.34, shortName, MCO P1020.34]
Generated description
MCO P1020.34 is the U.S. Marine Corps uniform regulations order that prescribes standards for the wear and appearance of Marine Corps uniforms.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MCO P1020.34 Target entity description: MCO P1020.34 is the U.S. Marine Corps uniform regulations order that prescribes standards for the wear and appearance of Marine Corps uniforms.
-
A.
MCO
MCO is the National Rail station code used to identify Oxford Road railway station in Manchester, England.
-
B.
MCO
MCO is the IATA airport code for Orlando International Airport, a major air travel hub serving the Orlando, Florida metropolitan area and its tourist attractions.
-
C.
MCO
MCO is the three-letter ISO 3166-1 alpha-3 country code assigned to the Principality of Monaco.
-
D.
MCoE
MCoE is the U.S. Army’s primary training and doctrine center for maneuver forces, integrating infantry, armor, and related capabilities at Fort Moore, Georgia.
-
E.
M-20
M-20 is a state trunkline highway in Michigan that runs east–west across the central part of the state, connecting communities such as Midland to the broader regional road network.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb5e7c7f48190afb78c311b424c93 |
completed | March 8, 2026, 5:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3344f9b448190aab1038ead60fa48 |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b338147cc0819095f00b28910e178a |
completed | March 12, 2026, 10:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b338967c6c819090fe5f77bfa1978f |
completed | March 12, 2026, 10:05 p.m. |
Created at: March 8, 2026, 3:14 p.m.