Triple
T4530391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gaineswood |
E106281
|
entity |
| Predicate | referenceNumber |
P26175
|
FINISHED |
| Object | 73000352 |
—
|
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: 73000352 | Statement: [Gaineswood, referenceNumber, 73000352]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: referenceNumber Context triple: [Gaineswood, referenceNumber, 73000352]
-
A.
refnum
chosen
Indicates that an entity is associated with a specific reference number used to identify or track it.
-
B.
serialNumber
Indicates a unique identifying code assigned to an individual item or instance within a series or batch.
-
C.
registrationNumber
Indicates the unique identifier assigned to an entity as part of an official or formal registration process.
-
D.
settlementReference
Indicates a reference or link from one entity to a specific settlement (e.g., town, village, or city) with which it is associated.
-
E.
regulationNumber
Indicates the specific identifier or code assigned to a regulation that governs or constrains an entity or activity.
- 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_69bd43f3d6e08190a91824f833d51bbe |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd579ba4188190b4cef6e91772f7e5 |
completed | March 20, 2026, 2:20 p.m. |
| PD | Predicate disambiguation | batch_69bd521edd00819099dfccaa65dddd61 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:03 p.m.