Triple
T3672303
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Damascus International Airport |
E77907
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
DAM
DAM is the three-letter IATA airport code for Damascus International Airport, the main airport serving Syria’s capital city.
|
E377539
|
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: DAM | Statement: [Damascus International Airport, IATAcode, DAM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DAM Context triple: [Damascus International Airport, IATAcode, DAM]
-
A.
DAS
DAS is the acronym for the Defense Attache Service, the U.S. military organization that manages defense attachés and military diplomatic representation at American embassies worldwide.
-
B.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
-
D.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
-
E.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
- 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: DAM Triple: [Damascus International Airport, IATAcode, DAM]
Generated description
DAM is the three-letter IATA airport code for Damascus International Airport, the main airport serving Syria’s capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DAM Target entity description: DAM is the three-letter IATA airport code for Damascus International Airport, the main airport serving Syria’s capital city.
-
A.
DAS
DAS is the acronym for the Defense Attache Service, the U.S. military organization that manages defense attachés and military diplomatic representation at American embassies worldwide.
-
B.
DAL
DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
-
C.
DAL
DAL is the standard three-letter abbreviation used for the NBA team Dallas Mavericks.
-
D.
DAL
DAL is the IATA airport code for Dallas Love Field, a major airport serving the Dallas, Texas area.
-
E.
DAL
DAL is the standard three-letter abbreviation used for the NHL team the Dallas Stars.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42f82548190b4d5f0fe7250decb |
completed | March 8, 2026, 6:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b488526214819092abb95f7cf119d5 |
completed | March 13, 2026, 9:57 p.m. |
| NEDg | Description generation | batch_69b48acb7dfc8190a862dce9a22c5c8f |
completed | March 13, 2026, 10:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4af280b688190a35a227f7581a9ae |
completed | March 14, 2026, 12:43 a.m. |
Created at: March 8, 2026, 3:25 p.m.