Triple
T7066640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gbl |
E164369
|
entity |
| Predicate | hasNameInPhoenician |
P28968
|
FINISHED |
| Object | Gbl |
—
|
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: Gbl | Statement: [Gbl, hasNameInPhoenician, Gbl]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNameInPhoenician Context triple: [Gbl, hasNameInPhoenician, Gbl]
-
A.
nameInPhoenician
chosen
Indicates the representation of an entity’s name when written in the Phoenician language or script.
-
B.
hasNameInHebrew
Indicates that an entity is associated with a specific name expressed in the Hebrew language.
-
C.
hasNameInGreek
Indicates that an entity is associated with a specific representation of its name in the Greek language.
-
D.
hasNameInArabic
Indicates that an entity is associated with a specific name expressed in the Arabic language.
-
E.
correspondsToPhoenicianLetter
Indicates a relationship where one written symbol or character is associated with, or derived from, a specific letter of the Phoenician alphabet.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4a737dc8190add7f0228cb28111 |
completed | March 27, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69c6e1bdc1f08190975fcdbbb1854d1e |
completed | March 27, 2026, 7:59 p.m. |
Created at: March 27, 2026, 2:39 p.m.