Triple
T17010285
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Passau |
E412680
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Haid |
E1121120
|
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: Haid | Statement: [Passau, hasPart, Haid]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haid Context triple: [Passau, hasPart, Haid]
-
A.
Haid
chosen
Haid is a surname most notably borne by American actor and director Charles Haid, known for his role on the television series "Hill Street Blues."
-
B.
Haide
Haide is a small village located on the island municipality of Ummanz in the German state of Mecklenburg-Vorpommern.
-
C.
Hain
Hain is an ancient, central world in Ursula K. Le Guin’s Hainish Cycle, often portrayed as the cradle of human-like civilizations across the galaxy.
-
D.
Hieda
Hieda is a Japanese surname notably associated with historical and literary figures in classical Japanese records and folklore.
-
E.
Heida
Heida is a traditional white wine grape variety from Switzerland’s Valais region, known for producing aromatic, full-bodied wines with good acidity and aging potential.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47a8444819081f1262eb7dbda40 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:33 a.m.