Triple
T6442867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S3 (Gardiner sign list) |
E138266
|
entity |
| Predicate | hasGardinerCode |
P70670
|
FINISHED |
| Object | S3 |
—
|
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: S3 | Statement: [S3 (Gardiner sign list), hasGardinerCode, S3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGardinerCode Context triple: [S3 (Gardiner sign list), hasGardinerCode, S3]
-
A.
hasGardenCity
Indicates that an entity is associated with or contains a designated garden city.
-
B.
hasGovernorateCode
Indicates that an entity is associated with a specific governorate through a designated code.
-
C.
hasChapmanCode
Indicates that an entity (typically a geographic or administrative area) is associated with a specific Chapman code used for standardized location identification.
-
D.
hasATCCode
Indicates that a pharmaceutical product or substance is assigned a specific Anatomical Therapeutic Chemical (ATC) classification code.
-
E.
containsGarden
Indicates that one entity includes or has a garden within its area or boundaries.
- 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_69c008aa61ac8190bc96715ed79fe2d8 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0698b030481908b7bb4e16a8b3339 |
completed | March 22, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69c060faaf248190bbdc8ff909c8777a |
completed | March 22, 2026, 9:36 p.m. |
| PDg | Predicate description generation | batch_69c0623e3cd48190929b0e3cba013909 |
completed | March 22, 2026, 9:42 p.m. |
Created at: March 22, 2026, 4:46 p.m.