Triple
T17912223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hal Jordan |
E447841
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Sector 2814 |
—
|
NE NERFINISHED |
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: Sector 2814 | Statement: [Hal Jordan, affiliation, Sector 2814]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sector 2814 Context triple: [Hal Jordan, affiliation, Sector 2814]
-
A.
Sector 2814
chosen
Sector 2814 is the designated region of space in DC Comics overseen by several prominent Green Lanterns, including Hal Jordan, and notably includes Earth within its boundaries.
-
B.
Sector 11-W
Sector 11-W is a residential neighborhood located within the North Karachi area of Karachi, Pakistan.
-
C.
Sector 11-S
Sector 11-S is a residential and commercial neighborhood located within the North Karachi area of Karachi, Pakistan.
-
D.
Sector 22
Sector 22 is a centrally located residential and commercial district in Chandigarh, India, known for its grid-based layout, markets, and public spaces reflecting Le Corbusier’s modernist planning principles.
-
E.
Sector 7
Sector 7 is a residential and commercial neighborhood within the North Karachi area of Karachi, Pakistan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49ea0ea008190b54a999e0704fb67 |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.