Triple
T34439647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 4 (Changi Airport) |
E884061
|
entity |
| Predicate | hasImmigrationConcept |
P143755
|
FINISHED |
| Object | automated |
—
|
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: automated | Statement: [Terminal 4 (Changi Airport), hasImmigrationConcept, automated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImmigrationConcept Context triple: [Terminal 4 (Changi Airport), hasImmigrationConcept, automated]
-
A.
immigrationFeature
chosen
Indicates that an entity possesses a characteristic, policy, or attribute specifically related to immigration.
-
B.
immigrationType
Indicates the specific category or classification of an individual’s immigration status or entry into a country.
-
C.
immigratesFrom
Indicates that an entity moves to live in a new country or region, originating from the specified source country or region.
-
D.
hasImmigrantCommunitiesFrom
Indicates that a place or region contains established communities of people who have immigrated from a specified origin location.
-
E.
immigrationAuthority
Indicates that an entity has official power or responsibility to regulate, control, or make decisions about immigration-related matters concerning another entity.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: May 1, 2026, 2 a.m.