Triple
T1252369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanukkiah |
E26905
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | shamash |
E53924
|
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: shamash | Statement: [Hanukkiah, hasPart, shamash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: shamash Context triple: [Hanukkiah, hasPart, shamash]
-
A.
shamash
chosen
Shamash is the helper candle on a Hanukkah menorah used to light the other candles each night of the festival.
-
B.
Shimsha
Shimsha is a river in southern India that flows through Karnataka and is known for its waterfalls and contribution to the Kaveri river system.
-
C.
Labashi-Marduk
Labashi-Marduk was a short-reigning Neo-Babylonian king, likely the son of Neriglissar, who was overthrown in a conspiracy soon after ascending the throne in the 6th century BCE.
-
D.
Chemosh
Chemosh is the chief national god of the ancient Moabites, often linked with war, conquest, and sometimes child sacrifice in Near Eastern religious traditions.
-
E.
Eshmun
Eshmun is a Phoenician god primarily associated with healing and medicine, often linked to later Greco-Roman healing deities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf875cf48190b6781d41097ee39b |
completed | March 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93c903488190bcbf1928699bafd2 |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:47 p.m.