Triple
T34028141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piscis Austrinus |
E872565
|
entity |
| Predicate | originatesFrom |
P26
|
FINISHED |
| Object |
Babylonian astronomy
Babylonian astronomy was an ancient Mesopotamian system of celestial observation and mathematical prediction that laid foundational concepts for later Greek and Western astronomical traditions.
|
E2079107
|
NE 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: Babylonian astronomy | Statement: [Piscis Austrinus, originatesFrom, Babylonian astronomy]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Babylonian astronomy Triple: [Piscis Austrinus, originatesFrom, Babylonian astronomy]
Generated description
Babylonian astronomy was an ancient Mesopotamian system of celestial observation and mathematical prediction that laid foundational concepts for later Greek and Western astronomical traditions.
Provenance (5 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_69f349a2527c81909a7cd4bda94d70ad |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b1c31d881908e2aa62249697074 |
completed | May 3, 2026, 8:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a36a02de97c8190bd15c74d8902cb80 |
completed | June 20, 2026, 2:14 p.m. |
| NEDg | Description generation | batch_6a36a0de350081909525a0c212057a65 |
completed | June 20, 2026, 2:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a36a185fad881909585edc7f5d5c177 |
completed | June 20, 2026, 2:19 p.m. |
Created at: May 1, 2026, 1:51 a.m.