Triple
T6058065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mozilla SeaMonkey |
E134963
|
entity |
| Predicate | usesEngine |
P2092
|
FINISHED |
| Object | Gecko |
E134378
|
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: Gecko | Statement: [Mozilla SeaMonkey, usesEngine, Gecko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gecko Context triple: [Mozilla SeaMonkey, usesEngine, Gecko]
-
A.
Gecko
chosen
Gecko is Mozilla’s open-source web browser engine that powers the rendering and functionality of Firefox and several other applications.
-
B.
Lizard
The Lizard is a classic Spider-Man supervillain, the monstrous alter ego of scientist Dr. Curt Connors who transforms into a reptilian creature after a failed experiment.
-
C.
Glis
Glis was a former municipality in the canton of Valais, Switzerland, that later became part of the merged municipality of Brig-Glis.
-
D.
Lagarteiru
Lagarteiru is a regional dialect of the Fala language spoken in a small area of Extremadura in western Spain.
-
E.
Pulga
Pulga is a small, scenic village in Himachal Pradesh, India, known for its tranquil Himalayan setting and popularity among trekkers and backpackers.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570d00e88190b2d8d596e40378d9 |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d0e06288190b4389b43825d5929 |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:10 p.m.