Triple
T15350827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Masad |
E367045
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Lahab |
E367047
|
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: Lahab | Statement: [Al-Masad, hasAlternativeName, Lahab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lahab Context triple: [Al-Masad, hasAlternativeName, Lahab]
-
A.
Lahab
chosen
Lahab is a short Meccan chapter of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
-
B.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
C.
Lhazar
Lhazar is a pastoral region in southeastern Essos inhabited by peaceful shepherding people known for their devotion to the god the Great Shepherd.
-
D.
Lauban
Lauban is the former German name for the town now known as Lubań, located in southwestern Poland near the Czech and German borders.
-
E.
Huraymila
Huraymila is a small town in central Saudi Arabia known for its traditional character and location within the greater Riyadh region.
- 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e290efc8190b22c95dcd3e5f57f |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff01fd53688190939787a3d6ff3bb9 |
completed | May 9, 2026, 9:44 a.m. |
Created at: April 10, 2026, 3:17 a.m.