Triple
T30213124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaza International Airport |
E768123
|
entity |
| Predicate | hadInternationalFlightsTo |
P1657
|
FINISHED |
| Object | Egypt |
—
|
NE NERFINISHED |
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: Egypt | Statement: [Gaza International Airport, hadInternationalFlightsTo, Egypt]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadInternationalFlightsTo Context triple: [Gaza International Airport, hadInternationalFlightsTo, Egypt]
-
A.
hasInternationalFlights
chosen
Indicates that an airport or airline operates flights connecting to destinations in other countries.
-
B.
isFlownOn
Indicates that an entity (such as a person or object) travels or is transported using a particular aircraft or airline as the means of flight.
-
C.
isFlownWith
Indicates that one entity travels by air together with, or using the same flight as, another entity.
-
D.
oftenTravelsTo
Indicates that one entity frequently goes to or visits another location or entity.
-
E.
hasDomesticFlights
Indicates that an airline or airport operates flights within the same country, connecting domestic destinations.
- F. None of above.
Provenance (3 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_69f2247fd8b8819087fcf83cb7a05eb8 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ff24e3c8190bef4ca0707963615 |
completed | May 2, 2026, 10:51 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
Created at: April 29, 2026, 7:33 p.m.