Triple
T17457550
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trachonitis |
E425068
|
entity |
| Predicate | modernApproximation |
P4460
|
FINISHED |
| Object | southern Syria |
—
|
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: southern Syria | Statement: [Trachonitis, modernApproximation, southern Syria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernApproximation Context triple: [Trachonitis, modernApproximation, southern Syria]
-
A.
approximates
chosen
Indicates that one entity is close to, but not exactly equal to, the value, form, or behavior of another entity.
-
B.
modernAccess
Indicates that an entity has contemporary, up-to-date means or methods of accessing or interacting with another entity or resource.
-
C.
modernEquivalent
Indicates that one entity serves as the contemporary or updated counterpart of another earlier or traditional entity.
-
D.
modernUse
Indicates how something is currently used or applied in modern times.
-
E.
modernProofBy
Indicates that something is established or demonstrated using a contemporary or currently accepted method of proof by a specified agent or process.
- 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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45142b08481908cdd290692d796c3 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
Created at: April 10, 2026, 5:47 a.m.