Triple
T26675851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DIL |
E672453
|
entity |
| Predicate | hasFormerICAOCode |
P18649
|
FINISHED |
| Object |
WPDB
WPDB was the former ICAO airport code assigned to DIL, the international airport serving Dili in Timor-Leste.
|
E1736168
|
NE FINISHED |
How this triple was built (3 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: WPDB | Statement: [DIL, hasFormerICAOCode, WPDB]
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: WPDB Triple: [DIL, hasFormerICAOCode, WPDB]
Generated description
WPDB was the former ICAO airport code assigned to DIL, the international airport serving Dili in Timor-Leste.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormerICAOCode Context triple: [DIL, hasFormerICAOCode, WPDB]
-
A.
previousICAOcode
chosen
Indicates that one entity was the former ICAO (International Civil Aviation Organization) code previously assigned to the other entity.
-
B.
formerIATAcode
Indicates that an entity previously held a specific IATA code, which is no longer its current assigned code.
-
C.
hasICAOComplement
Indicates that one entity serves as an ICAO-standard complement or additional code/information corresponding to another entity’s primary ICAO designation.
-
D.
hasFormerNearbyAirportName
Indicates that an entity previously had a nearby airport known by a different name than its current nearby airport name.
-
E.
hasFormerAirport
Indicates that an entity previously had an airport that is no longer in operation or no longer exists.
- F. None of above.
Provenance (6 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_69eecda13424819092b17942c4edf722 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ec54ac2c8190b119fa1e0e2cf004 |
completed | May 23, 2026, 6:05 p.m. |
| NEDg | Description generation | batch_6a11f1a6a8748190a66fd0d4585bedc9 |
completed | May 23, 2026, 6:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11f246b93c8190a37f5821323f643f |
completed | May 23, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 3:16 a.m.