Triple
T34383995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malta International Airport |
E882509
|
entity |
| Predicate | distanceFromValletta_km |
P205416
|
FINISHED |
| Object | 5 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: 5 | Statement: [Malta International Airport, distanceFromValletta_km, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromValletta_km Context triple: [Malta International Airport, distanceFromValletta_km, 5]
-
A.
distanceFromLjubljana
Indicates the spatial distance between an entity and the city of Ljubljana.
-
B.
distanceToTunis
Indicates the spatial distance between a given entity’s location and the city of Tunis.
-
C.
distanceToBizerte
Indicates the measured distance between a given entity’s location and the city of Bizerte.
-
D.
distanceToBega_km
Indicates the physical distance, measured in kilometers, between a given location and Bega.
-
E.
distanceFromSicily
Indicates the spatial distance between a given entity and the region of Sicily.
- F. None of above. chosen
Provenance (4 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_69f349c0219881909393bbbc1edc8161 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379fbe4a08190bfe65ebd141164e9 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:59 a.m.