Triple
T5914487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trans Studio Makassar |
E131543
|
entity |
| Predicate | owner |
P347
|
FINISHED |
| Object | CT Corp |
E555082
|
NE 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: CT Corp | Statement: [Trans Studio Makassar, owner, CT Corp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CT Corp Context triple: [Trans Studio Makassar, owner, CT Corp]
-
A.
CT Corp
chosen
CT Corp is a major Indonesian conglomerate with diversified interests spanning media, retail, financial services, and property development.
-
B.
Carrier Corporation
Carrier Corporation is a leading global manufacturer of heating, ventilation, air conditioning (HVAC), and refrigeration systems.
-
C.
ITT Corporation
ITT Corporation is a diversified American manufacturing and engineering company historically known for its involvement in telecommunications, defense, and industrial products.
-
D.
LG Corporation
LG Corporation is a major South Korean multinational conglomerate with diversified businesses spanning electronics, chemicals, and telecommunications.
-
E.
Hanwha Engineering & Construction
Hanwha Engineering & Construction is a South Korean construction and engineering company known for undertaking large-scale international projects, including major stadiums and infrastructure developments.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b9f0908190ad854e5f2600f114 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e397f2748190acf2d629ee57a466 |
completed | March 23, 2026, 6:54 a.m. |
Created at: March 22, 2026, 3:59 p.m.