Triple
T2300022
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suez Canal Company |
E51708
|
entity |
| Predicate | concessionStart |
P38596
|
FINISHED |
| Object | 1854 |
—
|
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: 1854 | Statement: [Suez Canal Company, concessionStart, 1854]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concessionStart Context triple: [Suez Canal Company, concessionStart, 1854]
-
A.
hasConcessions
Indicates that one entity provides or contains concession facilities, services, or rights (such as food, drink, or merchandise sales) for another entity or within a given context.
-
B.
concessionExpiry
Indicates that a granted concession or special permission remains valid only until a specified expiration time or date.
-
C.
formerConcessionOf
Indicates that one entity was previously a concession (a leased or granted area or operation) controlled by another entity, but no longer holds that status.
-
D.
hasConcessionaire
Indicates that one entity is designated as the concessionaire (holder of operating or usage rights under a concession) for another entity.
-
E.
offering
Indicates that one entity presents or provides something to another entity, typically as a gift, contribution, or proposal.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcbabf01081908db3b42bc7c60444 |
completed | March 7, 2026, 6:54 a.m. |
| PD | Predicate disambiguation | batch_69abc58ad33c8190b8d68af41b6f5e07 |
completed | March 7, 2026, 6:28 a.m. |
| PDg | Predicate description generation | batch_69abcbab15488190bc8d2345f9d9f2bd |
completed | March 7, 2026, 6:54 a.m. |
Created at: March 4, 2026, 7:49 p.m.