Triple
T13083385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Syrian Directorate-General of Antiquities and Museums |
E310267
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
DGAM
DGAM is Syria’s national authority responsible for the protection, management, and preservation of the country’s archaeological sites, historical monuments, and museums.
|
E1019705
|
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: DGAM | Statement: [Syrian Directorate-General of Antiquities and Museums, shortName, DGAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DGAM Context triple: [Syrian Directorate-General of Antiquities and Museums, shortName, DGAM]
-
A.
CGAM
CGAM is the abbreviation for the Coast Guard Achievement Medal, a United States Coast Guard decoration awarded for professional and leadership excellence.
-
B.
DGMT
DGMT is the station code for Downers Grove Main Street, a Metra commuter rail station in Downers Grove, Illinois.
-
C.
GDX
GDX is the IATA airport code for Magadan Airport, which serves the city of Magadan in Russia’s Far East.
-
D.
GAMM
GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
-
E.
Gaeml
Gaeml is the self-designated name used by speakers of the Kam language, a Tai–Kadai language spoken primarily in southern China.
- 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: DGAM Triple: [Syrian Directorate-General of Antiquities and Museums, shortName, DGAM]
Generated description
DGAM is Syria’s national authority responsible for the protection, management, and preservation of the country’s archaeological sites, historical monuments, and museums.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DGAM Target entity description: DGAM is Syria’s national authority responsible for the protection, management, and preservation of the country’s archaeological sites, historical monuments, and museums.
-
A.
CGAM
CGAM is the abbreviation for the Coast Guard Achievement Medal, a United States Coast Guard decoration awarded for professional and leadership excellence.
-
B.
DGMT
DGMT is the station code for Downers Grove Main Street, a Metra commuter rail station in Downers Grove, Illinois.
-
C.
GDX
GDX is the IATA airport code for Magadan Airport, which serves the city of Magadan in Russia’s Far East.
-
D.
GAMM
GAMM is a European scientific society focused on applied mathematics and mechanics that played a key role in the early development of programming languages.
-
E.
Gaeml
Gaeml is the self-designated name used by speakers of the Kam language, a Tai–Kadai language spoken primarily in southern China.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60e7b48819087e4583a5736c1df |
completed | May 3, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69f6d76cc33c8190ac8113094bcf868b |
completed | May 3, 2026, 5:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d8013e9481908f5edcce7247212d |
completed | May 3, 2026, 5:07 a.m. |
Created at: April 9, 2026, 9:02 p.m.