Triple
T14445577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lae |
E358196
|
entity |
| Predicate | hasAirport |
P105
|
FINISHED |
| Object |
Lae Nadzab Airport
Lae Nadzab Airport is the main commercial airport serving the city of Lae in Morobe Province, Papua New Guinea.
|
E1099549
|
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: Lae Nadzab Airport | Statement: [Lae, hasAirport, Lae Nadzab Airport]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lae Nadzab Airport Context triple: [Lae, hasAirport, Lae Nadzab Airport]
-
A.
Nauru International Airport
Nauru International Airport is the sole commercial airport serving the island nation of Nauru, providing its primary air connection to the outside world.
-
B.
Rabaul Airport
Rabaul Airport is the main air gateway serving the town of Kokopo and the surrounding East New Britain region in Papua New Guinea.
-
C.
Fitiuta Airport
Fitiuta Airport is a small public airport serving the island of Taʻū in American Samoa, providing essential air connectivity for local residents and visitors.
-
D.
Kavieng Airport
Kavieng Airport is a regional airport serving the town of Kavieng and surrounding areas in New Ireland Province, Papua New Guinea.
-
E.
Labasa Airport
Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
- 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: Lae Nadzab Airport Triple: [Lae, hasAirport, Lae Nadzab Airport]
Generated description
Lae Nadzab Airport is the main commercial airport serving the city of Lae in Morobe Province, Papua New Guinea.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lae Nadzab Airport Target entity description: Lae Nadzab Airport is the main commercial airport serving the city of Lae in Morobe Province, Papua New Guinea.
-
A.
Nauru International Airport
Nauru International Airport is the sole commercial airport serving the island nation of Nauru, providing its primary air connection to the outside world.
-
B.
Rabaul Airport
Rabaul Airport is the main air gateway serving the town of Kokopo and the surrounding East New Britain region in Papua New Guinea.
-
C.
Fitiuta Airport
Fitiuta Airport is a small public airport serving the island of Taʻū in American Samoa, providing essential air connectivity for local residents and visitors.
-
D.
Kavieng Airport
Kavieng Airport is a regional airport serving the town of Kavieng and surrounding areas in New Ireland Province, Papua New Guinea.
-
E.
Labasa Airport
Labasa Airport is a small domestic airport serving the town of Labasa on the Fijian island of Vanua Levu.
- 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_69d82794dfa081909b9134ad2e32244b |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915e76f481909fe9462f964b5b1c |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5bdd0f388190870ddd01f66d3e99 |
completed | May 8, 2026, 3:43 a.m. |
| NEDg | Description generation | batch_69fd5e188a148190bb166b7d50ad3b46 |
completed | May 8, 2026, 3:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd5ea592cc8190a47a2f6a511c0549 |
completed | May 8, 2026, 3:55 a.m. |
Created at: April 10, 2026, 1:19 a.m.