Triple
T33976913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ras Al Khair Port |
E871165
|
entity |
| Predicate | supportsIndustrialCity |
P74433
|
FINISHED |
| Object | Ras Al Khair Industrial City |
E794215
|
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: Ras Al Khair Industrial City | Statement: [Ras Al Khair Port, supportsIndustrialCity, Ras Al Khair Industrial City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsIndustrialCity Context triple: [Ras Al Khair Port, supportsIndustrialCity, Ras Al Khair Industrial City]
-
A.
supportsIndustrialCenter
Indicates that one entity provides resources, infrastructure, or services that enable the operation or development of an industrial center.
-
B.
servesIndustrialCity
chosen
Indicates that something functions to provide services, support, or utility to an industrial city.
-
C.
hasIndustrialTown
Indicates that an entity possesses or is associated with a town characterized primarily by industrial activities or facilities.
-
D.
supportsCity
Indicates that one entity provides assistance, resources, or backing to a city, helping it function, develop, or achieve its goals.
-
E.
isPlannedIndustrialCity
Indicates that a city has been intentionally designed and developed primarily for industrial purposes according to a formal plan.
- F. None of above.
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_69f3499da0188190ab1a4ff06fb06a2a |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a037c8ae0248190b7e2ce4bf852c22d |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3689f292bc8190ae5e87d502a1d8ce |
completed | June 20, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_6a0379f963908190846d232f386fd98f |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 1, 2026, 1:50 a.m.