Triple
T3460924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Storm Shadow |
E73021
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | SCALP-EG |
E83612
|
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: SCALP-EG | Statement: [Storm Shadow, alsoKnownAs, SCALP-EG]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SCALP-EG Context triple: [Storm Shadow, alsoKnownAs, SCALP-EG]
-
A.
SCALP EG
chosen
SCALP EG is a long-range, air-launched cruise missile developed jointly by France and the United Kingdom for precision strikes against high-value targets.
-
B.
SCAP
SCAP was the title held by General Douglas MacArthur as the top Allied authority overseeing the occupation and reconstruction of Japan after World War II.
-
C.
SCEL
SCEL is the ICAO airport code for Comodoro Arturo Merino Benítez International Airport, the main international gateway serving Santiago, Chile.
-
D.
SCAR
SCAR is an international scientific body that coordinates and promotes research in and about Antarctica and the Southern Ocean.
-
E.
SCL
SCL (Substation Configuration Language) is an XML-based language defined by the IEC 61850 standard for modeling, configuring, and exchanging data about electrical substations and their automation systems.
- 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_69ad85b224d481908ff8be51338d24ff |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adbae745e081909007cd3a664c57f3 |
completed | March 8, 2026, 6:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3611ff950819081b49f5c75aa6e4d |
completed | March 13, 2026, 12:58 a.m. |
Created at: March 8, 2026, 3:17 p.m.