Triple
T6340315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 11Q5 |
E142607
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | 11QPsᵃ |
E142607
|
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: 11QPsᵃ | Statement: [11Q5, alsoKnownAs, 11QPsᵃ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 11QPsᵃ Context triple: [11Q5, alsoKnownAs, 11QPsᵃ]
-
A.
11Q5
chosen
11Q5 is a Dead Sea Scrolls manuscript from Qumran Cave 11 that notably preserves the Hebrew text of Psalm 151 along with other biblical and liturgical compositions.
-
B.
#11S
#11S is a Catalan hashtag commonly used to refer to the National Day of Catalonia on September 11, especially in the context of pro-independence demonstrations and political events.
-
C.
NQX
NQX is a high-assurance network encryption and secure communications solution developed by SSH Communications Security for protecting critical data in transit.
-
D.
PNQ
PNQ is the IATA airport code for Pune International Airport, a major civilian and military air hub serving the city of Pune in Maharashtra, India.
-
E.
L110
L110 is the liquid-fueled second stage used on ISRO’s GSLV Mk III heavy-lift launch vehicle.
- 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_69c008d5ab108190b346c465696824a9 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0674311388190bb069a07a7ff60ef |
completed | March 22, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604352f148190b5accc28462256ad |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.