Triple
T4460043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GAU-12 Equalizer |
E98228
|
entity |
| Predicate | ammunitionType |
P6074
|
FINISHED |
| Object |
SAPHEI
SAPHEI is a type of 25mm aircraft cannon ammunition designed to combine armor-piercing, high-explosive, and incendiary effects in a single round.
|
E443086
|
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: SAPHEI | Statement: [GAU-12 Equalizer, ammunitionType, SAPHEI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SAPHEI Context triple: [GAU-12 Equalizer, ammunitionType, SAPHEI]
-
A.
Phimeanakas
Phimeanakas is an ancient Hindu temple within Angkor Thom in Cambodia, built in a stepped pyramid style and historically associated with the royal palace of the Khmer Empire.
-
B.
Sasima
Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
-
C.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
-
D.
Sapian
Sapian is a coastal municipality in the province of Capiz in the Philippines, known for its fishing industry and scenic bay.
-
E.
Tasiwit
Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
- 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: SAPHEI Triple: [GAU-12 Equalizer, ammunitionType, SAPHEI]
Generated description
SAPHEI is a type of 25mm aircraft cannon ammunition designed to combine armor-piercing, high-explosive, and incendiary effects in a single round.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SAPHEI Target entity description: SAPHEI is a type of 25mm aircraft cannon ammunition designed to combine armor-piercing, high-explosive, and incendiary effects in a single round.
-
A.
Phimeanakas
Phimeanakas is an ancient Hindu temple within Angkor Thom in Cambodia, built in a stepped pyramid style and historically associated with the royal palace of the Khmer Empire.
-
B.
Sasima
Sasima was an obscure town in ancient Cappadocia, best known as the short-lived and reluctant episcopal see of Gregory of Nazianzus in the 4th century.
-
C.
Sawanih
Sawanih is a notable literary work by the Indian poet Faizi, recognized for its contribution to classical Persian literature in South Asia.
-
D.
Sapian
Sapian is a coastal municipality in the province of Capiz in the Philippines, known for its fishing industry and scenic bay.
-
E.
Tasiwit
Tasiwit is an alternative name for Siwi, a Berber language spoken in Egypt’s Siwa Oasis.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35673337c8190b923159791ec27e3 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6284431c48190aa1553ff89f2239f |
completed | March 15, 2026, 3:32 a.m. |
| NEDg | Description generation | batch_69b629532cac8190b959adc0ef13305a |
completed | March 15, 2026, 3:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62d9c287c8190a305f9d21517f913 |
completed | March 15, 2026, 3:55 a.m. |
Created at: March 12, 2026, 11:33 p.m.