Triple
T12745759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babur cruise missile |
E304599
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Hatf-VII |
E992733
|
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: Hatf-VII | Statement: [Babur cruise missile, alsoKnownAs, Hatf-VII]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hatf-VII Context triple: [Babur cruise missile, alsoKnownAs, Hatf-VII]
-
A.
Hatf-V series
chosen
The Hatf-V series is a family of Pakistani medium-range ballistic missiles, commonly known as the Ghauri missile series, developed for strategic deterrence.
-
B.
Al-Lahab
Al-Lahab is a short Meccan surah of the Qur’an that condemns Abu Lahab and his wife for their opposition to the Prophet Muhammad.
-
C.
Miraj
Miraj is a prominent city in Maharashtra, India, known as a regional commercial and medical hub and for its historical and cultural significance.
-
D.
Al-Hawamim
Al-Hawamim refers to a group of seven consecutive chapters in the Qur’an that each begin with the disjointed Arabic letters “Ha Mim.”
-
E.
Saiph
Saiph is a bright blue supergiant star that forms one of the corners of the constellation Orion.
- 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_69d7bdf1426c8190a4402e1c4cdec33a |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd42fe08190a85467b1a998d2af |
completed | April 10, 2026, 9:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c94265481908ace9cac757df890 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:26 p.m.