Triple
T9133499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earth-616 |
E219145
|
entity |
| Predicate | containsLocation |
P45140
|
FINISHED |
| Object | Krakoa |
E508695
|
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: Krakoa | Statement: [Earth-616, containsLocation, Krakoa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Krakoa Context triple: [Earth-616, containsLocation, Krakoa]
-
A.
Krakoa
chosen
Krakoa is a living, sentient mutant island that serves as the sovereign homeland and central base for Marvel’s mutant population in the X-Men comics.
-
B.
Ballimaran
Ballimaran is a historic, densely packed lane in Old Delhi known for its traditional shops, old havelis, and association with the poet Mirza Ghalib.
-
C.
Taiohae
Taiohae is the main village and administrative center of Nuku Hiva in the Marquesas Islands of French Polynesia, known for its large bay and role as a regional hub.
-
D.
Wadska
Wadska is a central character in the series "Good Vibes," known for his laid-back, comedic personality within the show's ensemble cast.
-
E.
Onenoa
Onenoa is a small coastal village located on the island of Tutuila in American Samoa.
- 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_69ca83debfc0819095800583e97ab10f |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca8dccecc81908d8fc641c419ca6a |
completed | April 1, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d047e5ad5481909b7e62bee4d57492 |
completed | April 3, 2026, 11:06 p.m. |
Created at: March 30, 2026, 7:18 p.m.