Triple
T4911751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ophiuchus |
E110248
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Libra |
E459119
|
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: Libra | Statement: [Ophiuchus, borderedBy, Libra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Libra Context triple: [Ophiuchus, borderedBy, Libra]
-
A.
Libra
chosen
Libra is an astrological sign of the zodiac symbolized by the Scales and traditionally associated with balance, harmony, and relationships.
-
B.
Libra
Libra is a novel by Don DeLillo that offers a fictionalized exploration of the events and conspiracies surrounding the assassination of U.S. President John F. Kennedy.
-
C.
Orlandi Valuta
Orlandi Valuta is a money transfer and financial services brand owned by Western Union, primarily serving customers in the United States and Latin America.
-
D.
Doller
The Doller is a river in northeastern France that flows through the Alsace region and joins the Ill near Mulhouse.
-
E.
Dollar
Dollar is a small historic town in Clackmannanshire, Scotland, known for its scenic setting near the Ochil Hills and the nearby Castle Campbell.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e9c32148190a940a3733ecd1898 |
completed | March 20, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fe7a0f48190b666202a97b32c7d |
completed | March 21, 2026, 10:16 a.m. |
Created at: March 20, 2026, 1:29 p.m.