Triple
T30572048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malaysian port system |
E778144
|
entity |
| Predicate | hasFreeCommercialZone |
P5425
|
FINISHED |
| Object | Port Klang Free Zone |
—
|
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: Port Klang Free Zone | Statement: [Malaysian port system, hasFreeCommercialZone, Port Klang Free Zone]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFreeCommercialZone Context triple: [Malaysian port system, hasFreeCommercialZone, Port Klang Free Zone]
-
A.
hasFreeZone
chosen
Indicates that an entity includes or is associated with a designated free zone area where special rules, privileges, or exemptions apply.
-
B.
hasNoCommercialZone
Indicates that the subject area or entity does not contain any designated commercial zone or commercial-use area.
-
C.
hasLimitedCommercialAreas
Indicates that the subject possesses or is characterized by commercial zones that are restricted in size, extent, or availability.
-
D.
hasCommercialField
Indicates that one entity possesses or is associated with a commercial-related field, area, or domain in relation to another entity.
-
E.
hasCommercialStrip
Indicates that an area or entity contains or is associated with a zone characterized by a concentration of commercial businesses or retail establishments.
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6f8565134819096aac0175f924a9f |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f65fd1d08190b88e5e68ba268500 |
completed | May 3, 2026, 7:16 a.m. |
Created at: April 29, 2026, 8:22 p.m.