Triple
T11668098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inhumans |
E277305
|
entity |
| Predicate | associatedCity |
P3207
|
FINISHED |
| Object | Attilan |
E780873
|
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: Attilan | Statement: [Inhumans, associatedCity, Attilan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Attilan Context triple: [Inhumans, associatedCity, Attilan]
-
A.
Turania
Turania is a small municipality in the Province of Rieti in the Lazio region of central Italy.
-
B.
Nortia
Nortia is an Etruscan goddess associated with fate, time, and destiny, often linked to the marking of years and civic decisions.
-
C.
Genosha
chosen
Genosha is a fictional island nation in Marvel Comics, notorious for its history of mutant enslavement, political upheaval, and catastrophic destruction.
-
D.
Domnei
Domnei is a 1913 fantasy romance novel by James Branch Cabell, set in his imaginary medieval realm and noted for its ornate prose and ironic treatment of chivalric ideals.
-
E.
Aezani
Aezani was an ancient Phrygian city in modern-day Turkey, notable for its well-preserved Roman ruins including a major temple to Zeus and other public buildings.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a440d8a481909a13c97813408bc8 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82e252fc819082b5c8a33fcf861a |
completed | April 27, 2026, 3:38 p.m. |
Created at: April 8, 2026, 9:39 p.m.