Triple
T897480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christian iconography |
E19375
|
entity |
| Predicate | usesSymbol |
P129
|
FINISHED |
| Object | chi-rho |
E1248
|
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: chi-rho | Statement: [Christian iconography, usesSymbol, chi-rho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: chi-rho Context triple: [Christian iconography, usesSymbol, chi-rho]
-
A.
chi-rho
chosen
The chi-rho is an early Christian monogram formed from the first two Greek letters of "Christ," used as a symbol of Jesus and the Christian faith.
-
B.
Black–Scholes model
The Black–Scholes model is a fundamental mathematical framework in financial economics for pricing options and other derivatives by modeling asset prices as stochastic processes.
-
C.
Itô’s lemma
Itô’s lemma is a fundamental result in stochastic calculus that generalizes the chain rule to functions of stochastic processes, especially Brownian motion.
-
D.
CHI
CHI is the Amtrak station code for Chicago Union Station, the primary intercity rail hub in Chicago, Illinois.
-
E.
CQF
CQF (Cyclic Queuing and Forwarding) is a time-sensitive networking mechanism defined in IEEE 802.1Qch that provides deterministic, low-latency packet forwarding using cyclic transmission queues.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad2550c88190a624eb5627d472ad |
completed | March 1, 2026, 9:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7c02938b08190ae6646328324160e |
completed | March 4, 2026, 5:16 a.m. |
Created at: March 1, 2026, 7:39 p.m.