Triple
T10584100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Agriculture and Land Reclamation of Egypt |
E249808
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MALR
MALR is Egypt’s government ministry responsible for overseeing agricultural policy, rural development, and the management and reclamation of agricultural land.
|
E873145
|
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: MALR | Statement: [Ministry of Agriculture and Land Reclamation of Egypt, abbreviation, MALR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MALR Context triple: [Ministry of Agriculture and Land Reclamation of Egypt, abbreviation, MALR]
-
A.
maarulal
Maarulal is the self-designated name used by the Avars to refer to themselves in their own language.
-
B.
Mal
Mal is a common shortened form of the given name Malcolm.
-
C.
MOR
MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
-
D.
MOR
MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
-
E.
MOR
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
- 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: MALR Triple: [Ministry of Agriculture and Land Reclamation of Egypt, abbreviation, MALR]
Generated description
MALR is Egypt’s government ministry responsible for overseeing agricultural policy, rural development, and the management and reclamation of agricultural land.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MALR Target entity description: MALR is Egypt’s government ministry responsible for overseeing agricultural policy, rural development, and the management and reclamation of agricultural land.
-
A.
maarulal
Maarulal is the self-designated name used by the Avars to refer to themselves in their own language.
-
B.
Mal
Mal is a common shortened form of the given name Malcolm.
-
C.
MOR
MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
-
D.
MOR
MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
-
E.
MOR
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
- 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_69d381c9d3d48190a29ee491e1696a0e |
completed | April 6, 2026, 9:50 a.m. |
| NER | Named-entity recognition | batch_69d52767d2e0819099511e29e254bc34 |
completed | April 7, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d94b820330819090ed70c6ba29b5c2 |
completed | April 10, 2026, 7:12 p.m. |
| NEDg | Description generation | batch_69d94d67e16481908efb939a3e65004c |
completed | April 10, 2026, 7:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d95227a1f48190ab847606a9ae0500 |
completed | April 10, 2026, 7:40 p.m. |
Created at: April 6, 2026, 12:39 p.m.