Triple
T29736042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tung Chung Terminal |
E752460
|
entity |
| Predicate | servesLocals |
P193998
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tung Chung Terminal, servesLocals, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesLocals Context triple: [Tung Chung Terminal, servesLocals, yes]
-
A.
servesAtLocation
chosen
Indicates that an entity provides its services or functions at a specified location.
-
B.
servesLocale
Indicates that a service, product, or system is intended for use in, or is compatible with, a particular geographic or linguistic locale.
-
C.
servesOn
Indicates that one entity performs duties, functions, or holds a role as a member within another entity, such as a group, body, or organization.
-
D.
servesUse
Indicates that one entity is used by or functions to serve the purpose or needs of another entity.
-
E.
servedNearbyEstates
Indicates that an entity provided services or assistance to estates located in its immediate geographic vicinity.
- 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_69f0d62a36a88190bf860f00da433ff8 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69fe189fec148190aeef51b417ba15b0 |
completed | May 8, 2026, 5:08 p.m. |
| PD | Predicate disambiguation | batch_69fe17285b0881908de7569d8dbd20bd |
completed | May 8, 2026, 5:02 p.m. |
Created at: April 28, 2026, 7:45 p.m.