Triple
T301006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phoenician civilization |
E6197
|
entity |
| Predicate | majorDeity |
P7648
|
FINISHED |
| Object |
Eshmun
Eshmun is a Phoenician god primarily associated with healing and medicine, often linked to later Greco-Roman healing deities.
|
E39470
|
NE FINISHED |
How this triple was built (4 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: Eshmun | Statement: [Phoenician civilization, majorDeity, Eshmun]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eshmun Context triple: [Phoenician civilization, majorDeity, Eshmun]
-
A.
Inanna
Inanna is the ancient Mesopotamian goddess of love, beauty, sex, war, and political power, later known as Ishtar.
-
B.
Baal
Baal is a prominent ancient Near Eastern storm and fertility god widely worshipped across Phoenician and Canaanite cultures.
-
C.
Marduk
Marduk is the chief god of Babylon in ancient Mesopotamian religion, associated with creation, kingship, and the defeat of the chaos monster Tiamat.
-
D.
Neith
Neith is an ancient Egyptian goddess associated with war, hunting, and weaving, often revered as a creator deity and protector of Lower Egypt.
-
E.
Sekhmet
Sekhmet is an ancient Egyptian lioness-headed goddess associated with war, destruction, and healing, revered as a powerful protector and bringer of both plague and cure.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Eshmun Triple: [Phoenician civilization, majorDeity, Eshmun]
Generated description
Eshmun is a Phoenician god primarily associated with healing and medicine, often linked to later Greco-Roman healing deities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eshmun Target entity description: Eshmun is a Phoenician god primarily associated with healing and medicine, often linked to later Greco-Roman healing deities.
-
A.
Inanna
Inanna is the ancient Mesopotamian goddess of love, beauty, sex, war, and political power, later known as Ishtar.
-
B.
Baal
Baal is a prominent ancient Near Eastern storm and fertility god widely worshipped across Phoenician and Canaanite cultures.
-
C.
Marduk
Marduk is the chief god of Babylon in ancient Mesopotamian religion, associated with creation, kingship, and the defeat of the chaos monster Tiamat.
-
D.
Neith
Neith is an ancient Egyptian goddess associated with war, hunting, and weaving, often revered as a creator deity and protector of Lower Egypt.
-
E.
Sekhmet
Sekhmet is an ancient Egyptian lioness-headed goddess associated with war, destruction, and healing, revered as a powerful protector and bringer of both plague and cure.
- F. None of above. chosen
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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2e9e6a8308190b9bd15310e324504 |
completed | Feb. 28, 2026, 1:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3b47185f48190813159f932c0af9a |
completed | March 1, 2026, 3:37 a.m. |
| NEDg | Description generation | batch_69a3b4da227c8190bb172bb78484ce46 |
completed | March 1, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3b52e995c819084fe2b4983f6cfcc |
completed | March 1, 2026, 3:40 a.m. |
Created at: Feb. 28, 2026, 1:06 p.m.