Triple
T142818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erie Canal |
E2888
|
entity |
| Predicate | hasLockCount |
P2430
|
FINISHED |
| Object | 83 (original) |
—
|
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: 83 (original) | Statement: [Erie Canal, hasLockCount, 83 (original)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLockCount Context triple: [Erie Canal, hasLockCount, 83 (original)]
-
A.
hasNumberOfLocks
chosen
Indicates the quantity of locks that an entity possesses or is equipped with.
-
B.
hasLock
Indicates that one entity possesses or is secured by a lock associated with another entity.
-
C.
hasFirstHolder
Indicates that an entity is associated with the earliest or original holder (e.g., owner, position-bearer, or title-holder) of something.
-
D.
hasIndex
Indicates that one entity serves as an index or positional reference for another entity within an ordered collection or structure.
-
E.
hasSectionCount
Indicates that an entity is associated with a specific number of sections it contains or comprises.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a2580ca15481909fa3e87d804a1b23 |
completed | Feb. 28, 2026, 2:50 a.m. |
| PD | Predicate disambiguation | batch_69a2565559ac81909e0c4e095a7dfa27 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.