Triple
T11442634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christ Church Melaka |
E271181
|
entity |
| Predicate | currentLanguageOfServices |
P99318
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Christ Church Melaka, currentLanguageOfServices, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: currentLanguageOfServices Context triple: [Christ Church Melaka, currentLanguageOfServices, English]
-
A.
serviceBrandLanguage
Indicates the language or languages in which a service brand communicates or is presented.
-
B.
serviceBranchLanguage
Indicates the language or languages used or officially recognized by a particular branch of a service (such as a military or organizational branch).
-
C.
navigationLanguage
Indicates the language used for navigation-related content, such as menus, directions, or interface controls.
-
D.
standardLanguageOf
Indicates that one entity serves as the officially recognized or commonly used standard language for another entity (such as a country, region, or organization).
-
E.
languageOfLocalization
Indicates the language into which something (such as software, content, or an interface) has been localized for use or display.
- 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_69d6aadff8888190a13f253f0d460874 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d808891b7481908bf5a80cb7644061 |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
| PDg | Predicate description generation | batch_69d800115af08190bba53dd3ff561ca1 |
completed | April 9, 2026, 7:37 p.m. |
Created at: April 8, 2026, 9:35 p.m.