Triple
T5723629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mintaka |
E126207
|
entity |
| Predicate | hasComponent |
P35
|
FINISHED |
| Object | Mintaka C |
E126207
|
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: Mintaka C | Statement: [Mintaka, hasComponent, Mintaka C]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mintaka C Context triple: [Mintaka, hasComponent, Mintaka C]
-
A.
Mintaka
chosen
Mintaka is a bright multiple star system in the constellation Orion, forming one of the three prominent stars of Orion’s Belt.
-
B.
Manda
Manda is a lesser-known Dravidian language spoken by tribal communities in parts of eastern India, particularly in Odisha.
-
C.
Nakanamanga
Nakanamanga is an Oceanic Austronesian language spoken primarily on Efate Island and nearby areas in Vanuatu.
-
D.
Mitanni
Mitanni was a powerful Hurrian-speaking kingdom of the Late Bronze Age in northern Mesopotamia and Syria, known for its chariotry, diplomacy, and rivalry with contemporary great powers such as Egypt and the Hittites.
-
E.
Matabaan
Matabaan is a town in central Somalia that serves as one of the urban centers within the federal member state of Hirshabelle.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02506d8288190b33bede6c22af773 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c097f0978881908f2b6fb4e6d5e4cd |
completed | March 23, 2026, 1:31 a.m. |
Created at: March 22, 2026, 3:46 p.m.