Triple
T25986475
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xindi conflict |
E646215
|
entity |
| Predicate | factionInvolved |
P99629
|
FINISHED |
| Object |
Xindi-Aquatics
Xindi-Aquatics are an aquatic subspecies of the Xindi in the Star Trek universe, known for their underwater habitats, advanced technology, and cautious, deliberative role in Xindi political and military affairs.
|
E1717307
|
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: Xindi-Aquatics | Statement: [Xindi conflict, factionInvolved, Xindi-Aquatics]
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: Xindi-Aquatics Triple: [Xindi conflict, factionInvolved, Xindi-Aquatics]
Generated description
Xindi-Aquatics are an aquatic subspecies of the Xindi in the Star Trek universe, known for their underwater habitats, advanced technology, and cautious, deliberative role in Xindi political and military affairs.
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_69e77e881fc08190ba1c8dc7e2a07f97 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605446ca48190907baef523f13ccf |
completed | May 2, 2026, 2:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a118f8d06288190a0ce9fa872a7f47d |
completed | May 23, 2026, 11:29 a.m. |
| NEDg | Description generation | batch_6a1190713f4c819082a89700881a3c46 |
completed | May 23, 2026, 11:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a119148a52c8190ab07b136673ee956 |
completed | May 23, 2026, 11:36 a.m. |
Created at: April 22, 2026, 8:55 a.m.